2016-01-29T03:56:18Z

Zhangdx：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/18 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang, Qixin Wang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|-
|2015/12/31 || Xiaoxi Wang， Chao Xing||
* Multilingual Language Processing From Bytes [[http://arxiv.org/pdf/1512.00103v1.pdf pdf]]
* Towards universal neural nets: Gibbs machines and ACE. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Report-12-31.pdf pdf]]
|-
|-
|2016/1/8 || Qixin Wang， Tianyi Luo||
*Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a1/Unveiling_the_Dreams_of_Word_Embeddings-_Towards_Language-Driven_Image_Generation.pdf pdf]]
*Generating Chinese Couplets using a Statistical MT Approach[[http://aclweb.org/anthology/C/C08/C08-1048.pdf pdf]]
*Generating Chinese Classical Poems with Statistical Machine Translation Models[[http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4753/5314 pdf]]
*Chinese Poetry Generation with Recurrent Neural Networks[[http://www.aclweb.org/old_anthology/D/D14/D14-1074.pdf pdf]]
|-
|2016/1/15 || Chao Xing||
*Learning from Chris Dyer [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cd/Learning_From_Chris_Dyer.pptx ppt]]
*Learning Word Representations with Hierarchical Sparse Coding [[http://arxiv.org/pdf/1406.2035v2.pdf pdf]]
*Non-distributional Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-nondist.pdf pdf]]
*Sparse Overcomplete Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-overcomplete.pdf pdf]]
|-
|2016/1/22 || Qixin Wang, Tianyi Luo||
*Skip_thought_vector [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Skip_thought_vector.pdf pdf]]
|-
|2016/1/29 || Dongxu Zhang||
*Towards Neural Network-based Reasoning[[Towards_Neural_Network-based_Reasoning.pdf]]
|-
|2016/2/5 || Chao Xing||

|}

文件:Towards Neural Network-based Reasoning.pdf

2016-01-29T03:55:49Z

Zhangdx：

2016-01-18T05:40:45Z

Zhangdx：

*Location: FIT-1-304
*Time: Monday, 7:00 PM

{| class="wikitable"
! Date !! Speaker!! Title !! Materials !! On duty
|-
| 2012/08/27 ||Dong Wang || Heterogeneous Convolutive Non-negative Sparse Coding ||[[媒体文件:Heterogeneous_convolutive_non-negative_sparse_coding.pdf|slides]] [http://homepages.inf.ed.ac.uk/v1dwang2/public/pdf/inerspeech2012-hetero.pdf paper] ||
|-
|2012/09/03 ||NO Meeting|| || ||
|-
|2012/09/10 || NO Meeting|| || ||
|-
|2012/09/17 ||WALEED ABDULLA||Auditory Based Feature Vectors for Speech Recognition ||[[媒体文件:AuditoryBasedFeatureVectors.pdf|slides]]||范淼
|-
| rowspan="2"|2012/09/24 ||刘超|| N-gram FST indexing for Spoken Term Detection || [[媒体文件:120924-N_gram_FST_indexing_for_Spoken_Term_Detection-LC-0.pdf|slides]] ||尹聪
|-
|范淼||Micro-blogging, Wikipedia, Folksonomy, What's Next? ||[[媒体文件:120924-Micro-blogging, Wikipedia, Folksonomy, What's Next-FM--01-FM-.pdf|slides]] ||
|-
| 2012/10/08 ||NO Meeting|| || ||
|-
| 2012/10/15 ||NO Meeting|| || ||
|-
|2012/10/22||Wu Xiaojun||speaker recognition in CSLT ||[[媒体文件:VPR_in_CSLT.pdf|slides]]||卡尔
|-
| rowspan="1"|2012/10/29 ||王军||An overview of Automatic Speaker Diarization Systems || [[媒体文件:121027-Speaker Diarization-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2012/11/05 ||别凡虎||Experiments on Emotional Speaker Recognition||[[媒体文件:121104-Experiments_on_Emotional_Speaker_Recognition-BFH.pdf|slides]] ||刘超
|-
| rowspan="1"|2012/11/12 ||唐国瑜||Statistical Word Sense Improves Document Clustering ||[[媒体文件:121112_Statistical_Word_Sense_Improves_Document_Clustering_TGY.pdf‎ |slides]]||邱晗
|-
| rowspan="1"|2012/11/19 ||张陈昊||TDSR with Long-term Features Based on Functional Data Analysis||[[媒体文件:121118-ISCSLP-FDA_SR-ZCH.pdf|slides]] ||王俊俊
|-
| rowspan="1"|2012/11/26 ||王琳琳||Time-Varying Speaker Recognition: An Introduction||[[媒体文件:121126-Time_Varying_Speaker_Recognition_I-Wll.pdf‎|slides]] ||龚宬
|-
| rowspan="1"|2012/12/03 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/10 ||No meeting|| || ||
|-
| rowspan="1"|2012/12/17 ||No meeting|| || ||

|-
| rowspan="1"|2012/01/07 || || || ||
|-
|2012/01/07 ||王军||基于DF-MAP的说话人模型训练方法||[[媒体文件:130107-基于DFMAP的说话人模型训练方法-WJ.pdf|slides]] ||唐国瑜
|-
| rowspan="1"|2012/01/14 ||王东|| Computing in CSLT ||[[媒体文件:Computing_in_CSLT.pdf|slides]] ||王琳琳
|-

|-
| rowspan="1"|2013/03/04 ||王军||Sequential Adaptive Learning for Speaker Verification ||[[媒体文件:130301-Sequential adaptive learning for speaker verification-WJ.pdf|slides]] ||别凡虎
|-
| rowspan="1"|2013/03/11 || Du Jinle|| VAD stuff || ||
|-
| rowspan="1"|2013/03/18 || || || ||
|-
| rowspan="1"|2013/03/25 || || || ||
|-
| rowspan="1"|2013/04/01 || || || ||
|-
| rowspan="1"|2013/04/08 || 张陈昊|| A Fishervoice based Feature Fusion Method for SUSR ||[[媒体文件:130408-FisherVoice-ZCH.pdf|slides]] ||谢仲达
|-
| rowspan="1"|2013/04/15 ||龚宬|| An Exploration on Influence Factors of VAD's Performance in Speaker Recognition ||[[媒体文件:130415-An_Exploration_on_Influence_Factors_of_VAD-GC.pdf|slides]] ||
|-
| rowspan="1"|2013/04/22 ||王俊俊 || Understanding the Query: THCIB and THUIS at NTCIR-10 Intent Task ||[[媒体文件:130422-Understanding_the_Query-WJJ.pdf|slides‎]] ||
|-
| rowspan="1"|2013/04/29 || || || ||
|-
| rowspan="1"|2013/05/06 ||别凡虎 ||MLLR on Emotional Speaker Recognition ||[[媒体文件:130506-MLLR on Emotional Speaker Recognition-BFH.pdf|slides]] ||
|-
| rowspan="1"|2013/05/13 ||刘超 || The Use of Deep Neural Network for Speech Recognition || [[媒体文件:130513-the_use_of_dnn_for_asr-lc.pdf|slides]] ||
|-
| rowspan="1"|2013/05/20 || || || ||
|-
| rowspan="1"|2013/05/27 ||王琳琳|| 说话人识别中的时变鲁棒性问题研究 || [[媒体文件:130527-TVSV-Wll.pdf|slides]] ||
|-
| rowspan="1"|2013/06/03 ||王俊俊|| 汉语搜索结果聚类系统研究与实现 || [[媒体文件:130601-毕业答辩-02-WJJ.pdf|slides]] ||
|-
| rowspan="1"|2013/06/10 || || || ||
|-
| rowspan="1"|2013/06/17 ||范淼 || Relation Extraction ||[[媒体文件:130617-relation_extraction-fm.pdf|slides]] ||
|-
| rowspan="1"|2013/06/24 ||唐国瑜 || Incorporating Statistical Word Senses in Topic Model ||[[媒体文件:130624_Incorporating Statistical Word Senses in Topic Model_TGY.pdf|slides]] ||
|-
| rowspan="1"|2013/07/01 || || || ||
|-
| rowspan="1"|2013/07/08 || || || ||
|-
| rowspan="1"|2013/07/15 || || || ||
|-
| rowspan="1"|2013/09/09 ||王东 || Research Frontier in Speech Technology||[[媒体文件:Research Frontier in Speech Technology.pdf|slides]] ||
|-
| rowspan="1"|2013/09/16 || || || ||
|-
| rowspan="1"|2013/09/23 || || || ||
|-
| rowspan="1"|2013/09/30 || || || ||
|-
| rowspan="1"|2013/10/07 || || || ||
|-
| rowspan="1"|2013/10/14 || || || ||
|-
| rowspan="1"|2013/10/21 ||范淼 ||Transduction Classification with Matrix Completion （中文报告）||[[媒体文件: Transduction_Classifiction_with_Matrix_Completion.pdf‎|slides]] [http://pages.cs.wisc.edu/~jerryzhu/pub/mc4ssl_FINAL.pdf paper]|| 李蓝天
|-
| rowspan="1"|2013/10/28 || || || ||
|-
| rowspan="1"|2013/11/04 || 王军 || 基于i-vector的intersession补偿及打分方法(综述) || [[媒体文件:131104-ivecto下intersession补偿及打分方法--01-WJ-.pdf‎|slides]]||
|-
| rowspan="1"|2013/11/11 ||张陈昊 ||PLDA介绍及PLDA在说话人识别中的应用 ||[[媒体文件:PLDA.pdf|slides]] || 唐国瑜
|-
| rowspan="1"|2013/11/18 ||别凡虎 ||i-vector理论介绍（讨论）||[[媒体文件:131118-i-vector_and_GMM-UBM-BFH.pdf|slides]]‎ ||王军
|-
| rowspan="1"|2013/11/25 ||刘超 || Pruning Neural Networks By Optimal Brain Damage(综述)||[[媒体文件:131125-OBD-LC-01.pdf|slides]] ||范淼
|-
| rowspan="1"|2013/12/02 ||范淼 ||Distant Supervision for Relation Extraction with Matrix Completion （英文报告）||[[媒体文件:131202-DRMC-FM-01.pdf|slides]] || 李蓝天
|-
| rowspan="1"|2013/12/09 || Dong Wang|| Introduction to the HMM-based speech synthesis||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/16 ||张陈昊 ||语音研究中的基元介绍 ||[[媒体文件:131215-Phonology-ZCH.pdf|slides]] ||
|-
| rowspan="1"|2013/12/23 || Dong Wang|| Introduction to the HMM-based speech synthesis (2)||[http://hts.sp.nitech.ac.jp/archives/2.2/HTS_Slides.zip slides] ||
|-
| rowspan="1"|2013/12/23 || || || ||
|-
| rowspan="1"|2013/12/30 ||刘荣 || continuous space language model||[[媒体文件:Cslm-cslt.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/01/06 || || || ||
|-
| rowspan="1"|2014/01/13 || || || ||
|-
| rowspan="1"|2014/01/20 || || || ||
|-
| rowspan="1"|2014/02/24 || || || ||
|-
| rowspan="1"|2014/03/03 || || || ||
|-
| rowspan="1"|2014/03/10 ||范淼|| Distant Supervision for Information Extraction (英文报告)|| || 李蓝天
|-
| rowspan="1"|2014/03/17 ||唐国瑜 || Topic Models Incorporating Statistical Word Senses || [[媒体文件:TMISWS_For_CICLing2014.pdf|slides]]||
|-
| rowspan="1"|2014/03/24 ||孟祥涛 || Noisy training for Deep Neural Networks|| ||
|-
| rowspan="1"|2014/03/31 ||范淼|| Translating Embeddings for Modeling Multi-relational Data （中文报告） || [https://www.hds.utc.fr/everest/lib/exe/fetch.php?id=en%3Atranse&cache=cache&media=en:cr_paper_nips13.pdf paper]||李蓝天
|-
| rowspan="1"|2014/04/07 || || || ||
|-
| rowspan="1"|2014/04/14 || Wang Jun|| I-vector and PLDA in depth ||[[媒体文件:131104-ivector-microsoft-wj.pdf|slides]] ||
|-
| rowspan="1"|2014/04/21 || 邱晗||汉语事件句式规范化处理 ||[[媒体文件:140421-汉语事件句式规范化-QH.pdf‎|slides]] ||
|-
| rowspan="1"|2014/04/28 || 唐国瑜|| Some papers in　CICLing2014 ||[[媒体文件:Some_papers_in_CICling2014.pdf|slides]] ||刘超
|-
| rowspan="1"|2014/05/05 || || || ||
|-
| rowspan="1"|2014/05/12 || 卡尔|| paper introduction || [[媒体文件:Acoustic Factor Analysis.pdf|slides]] || 邱晗
|-
| rowspan="2"|2014/05/19 || 邱晗|| 汉语事件句式CCG推导树重构 ||[[媒体文件:140519-CCG_reConstruction.pdf‎|slides]]‎|| 卡尔
|-
|Liu Chao|| master proposal: sparse and deep neural networks || [[媒体文件:140519-proposal-LC-01.pdf|slides]] ||
|-
| rowspan="1"| || Liu Chao|| 2nd master proposal: sparse and deep neural networks|| ||
|-
| rowspan="1"|2014/06/16 || 别凡虎 || Truncated Wave based VPR and Some Recent Work || [[媒体文件:140614-Truncated_Speech_based_VPR.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"|2014/06/23 || 别凡虎 || Block-wise training for I-vector || [[媒体文件:140623-Block-wise training for I-vector.pdf‎|slides]]‎ || 别凡虎
|-
| rowspan="1"| 2014/07/07||王军 ||Discriminative Scoring for Speaker Recognition Based on I-vectors || [[媒体文件:140707-work_report.pdf|slides]]|| 王军
|-
| rowspan="1"| 2014/09/01|| || || ||
|-
| rowspan="1"|2014/09/09 ||别凡虎 ||Reseach on Truncated Wave based VPR||[[媒体文件:140909-Truncated Speech based VPR.pdf|slides]] || 别凡虎
|-
| rowspan="1"| 2014/09/15|| || || ||
|-
| rowspan="1"|2014/09/22 || Miao Fan|| Large-scale Entity Relation Extraction based on Low-dimensional Representations (中文报告，博士开题)
||[[媒体文件:基于低维表示的大规模实体关系挖掘技术.pdf‎|slides]] || Lan TianLi
|-
| rowspan="1"| 2014/09/29 || || || ||
|-
| rowspan="1"|2014/10/13 || Miao Fan|| The Frontier of Knowledge Embedding （英文报告）|| [[媒体文件:The_Frontier_of_Knowledge_Embedding.pdf‎|slides]]|| Lan TianLi
|-
| rowspan="1"|2014/10/20 || || || ||
|-
| rowspan="1"|2014/10/27 || Li Yi || Phonemes, Features, and Syllables: Converting Onset and Rime Inventories to Consonants and Vowels||[[媒体文件:Lanzhou Phonemes, Features, and Syllables- fianl.pdf|paper]] [[媒体文件:Syllables and phonemes - 20141027.pdf|slides]]||
|-
| rowspan="1"|2014/11/3 || 米吉提|| Automatic Speech Recognition of Agglutinative Language based on Lexicon Optimization||[[媒体文件:Mijit-slides-清华大学-2014-11-3.pdf|slides]] ||
|-
| rowspan="1"|2014/11/10 || || || ||
|-
| rowspan="1"|2014/11/17 ||Dong Wang || Highly restricted keyword spotting for Uyghur using sparse analysis|| [[媒体文件:Highly Restricted Keyword Selection Based on Sparse Analysis.pdf|slides]]||
|-
| rowspan="1"|2014/11/24 || || || ||
|-
| rowspan="1"|2014/12/1 ||ZhongDa Xie ||Incorporating Fine-Grained Ontological Relations in Medical Document Ranking || [[媒体文件:Fine-grained_relations.pdf|slides]]|| Lantian Li
|-
| rowspan="1"|2014/12/8 || || || ||
|-
| rowspan="1"|2014/12/15 || 唐国瑜 || 跨语言话题分析关键技术研究 ||[[媒体文件:141205-答辩-TGY.pdf|slides]] ||
|-
| rowspan="1"|2014/12/22 || || || ||
|-
| rowspan="1"|2014/12/29 || Askar || Language Mismatch in Speaker Recognition System||[[媒体文件:141229--askar.pdf|slides]] ||
|-
| rowspan="1"|2015/1/5 ||Lantian Li || Deep Neural Networks for Speaker Recognition || [[媒体文件:150104_Deep_Neural_Networks_for_Speaker_Recognition_LLT.pdf|slides]]||
|-
| rowspan="1"|2015/1/12 || || || ||
|-
| rowspan="1"|2015/1/19 || Dong Wang || Machine Learning Paradigms for Speech Recognition||[[媒体文件:Machine Learning Paradigms for Speech Recognition.pdf|slides]] [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6423821 paper] ||
|-
| rowspan="1"|2015/1/26 || Chen Guorong || Information Transmission and Distribution on Web ||[[媒体文件:An_introduction_of_complex_network1.pdf|slides]] ||
|-
| rowspan="1" |2015/3/9 || Dong Wang || Joint Deep Learning || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/3/16 || Dongxu Zhang || Knowledge learning from text data and knowledge bases || [[媒体文件:Joint Deep Learning.pdf|slides]] ||
|-
| rowspan="1"|2015/4/13 || Xuewei Zhang || Lasso-based Reverberation Suppression In Automatic Speech Recognition || [[媒体文件:Lasso-based Reverberation Suppression In Automatic Speech Recognition.pdf|slides]] ||
|-
| rowspan="1"|2015/5/11 || Dong Wang ||ASR and SID Research Frontier ||[[媒体文件:ASR and SID Research Frontier.pdf|slides]] ||
|-
| rowspan="1"|2015/11/23 || Zhiyuan Tang|| CTC learning|| [[媒体文件:CTC.pdf|slides]] ||
|-
| rowspan="1"|2015/11/30 || Mengyuan Zhao|| CNN-based music removal|| [[媒体文件:Music Removal by Convolutional Denoising.pdf | slides]] ||
|-
| rowspan="1"|2015/12/7 || Yiqiao Pan|| Document Classification with Spherical Word Vectors||[[媒体文件:Document Classification with Spherical Word Vectors.pdf|slides]] ||
|-
| rowspan="1"|2015/12/14 || Dong Wang || Transfer Learning for Speech and Language Processing ||[[媒体文件:Transfer_Learning_for_Speech_and_Language_Processing.pdf|slides]] ||
|-
| rowspan="1"|2015/12/21 || Qixin Wang || Attention for poem generation ||[[媒体文件:Ijcai 2016.pptx|slides]] ||
|-
| rowspan="1"|2015/12/28 || Lantian Li || Max-margin metric learning for speaker recognition || [[媒体文件:Max-margin-Metric-Learning.pdf|slides]]||
|-
| rowspan="1"|2016/1/4 || Zhiyong Zhang || Parallel training,MPE and natural gradient||[[媒体文件:20160104_张之勇_Large-scale Parallel Training in Speech Recognition.pdf|slides]]||
|-
| rowspan="1"|2016/1/18 || Dongxu Zhang || Memoryless Document Vector ||[[媒体文件:http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/69/Memoryless_document_vector.pdf|slides]]||
|-
| rowspan="1"|2016/4/25 || Miao Fan || Probabilistic Belief Embedding for Large-scale Knowledge Population || [[媒体文件: ARTINT-S-15-00482.pdf|paper]] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c8/Learning_Semantics_for_Linked_Data.pdf ref] ||
|-

|}

文件:Memoryless document vector.pdf

2016-01-18T05:39:58Z

Zhangdx：

2016-01-09T04:07:04Z

Zhangdx：

Dongxu Zhang 2015-12-28

2015-12-28T00:57:38Z

Zhangdx：以“Last Week ---- * change classifier to liblinear. slightly improve the performance. * dropout some words from input can improve the performance. And dropout from both...”为内容创建页面

Last Week
----
* change classifier to liblinear. slightly improve the performance.
* dropout some words from input can improve the performance. And dropout from both input and output results in similar performance.(try 1/10->1/5)
* with initialization and dropout, the performance improved a little.
* idf weight on sum of pooling(less), on sum of cost(more) hurt the performance.

This Week
----
* Tune the dropout ratio(1/2).
* summarize the classification accuracy on knn and liblinear.

2015-12-28

2015-12-28T00:46:51Z

Zhangdx：

[[Mengyuan Zhao 2015-12-28]]

[[Qixin Wang 2015-12-28]]

[[Xiaoxi Wang 2015-12-28]]

[[Chao Xing 2015-12-28]]

[[Tianyi Luo 2015-12-28]]

[[Zhiyuan Tang 2015-12-28]]

[[Dongxu Zhang 2015-12-28]]

Reading table

2015-12-24T22:23:59Z

Zhangdx：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/18 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|}

Reading table

2015-12-24T22:23:08Z

Zhangdx：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/11 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|}

文件:Learning semantic hierarchies via word embeddings acl2014.pdf

2015-12-24T22:22:44Z

Zhangdx：