EMNLP 2011 - PDF Preprint Papers

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EMNLP
2011

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Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions

12 years 11 months ago

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We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...

Richard Socher, Jeffrey Pennington, Eric H. Huang,...

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Id	Views	Title	Status

1	287	Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions	claim
2	237	Named Entity Recognition in Tweets: An Experimental Study	claim
3	227	Unsupervised Dependency Parsing without Gold Part-of-Speech Tags	claim
4	227	Generating Aspect-oriented Multi-Document Summarization with Event-aspect model	claim
5	209	Structured Relation Discovery using Generative Models	claim
6	204	A Non-negative Matrix Factorization Based Approach for Active Dual Supervision from Document and Word Labels	claim
7	199	Collaborative Ranking: A Case Study on Entity Linking	claim
8	197	Syntactic Decision Tree LMs: Random Selection or Intelligent Design?	claim
9	195	Corpus-Guided Sentence Generation of Natural Images	claim
10	193	Classifying Sentences as Speech Acts in Message Board Posts	claim
11	193	Training a Log-Linear Parser with Loss Functions via Softmax-Margin	claim
12	187	Inducing Sentence Structure from Parallel Corpora for Reordering	claim
13	187	Statistical Machine Translation with Local Language Models	claim
14	187	Structural Opinion Mining for Graph-based Sentiment Representation	claim
15	186	Personalized Recommendation of User Comments via Factor Models	claim
16	185	Lexical Generalization in CCG Grammar Induction for Semantic Parsing	claim
17	184	Relaxed Cross-lingual Projection of Constituent Syntax	claim
18	184	Rumor has it: Identifying Misinformation in Microblogs	claim
19	183	Structured Sparsity in Structured Prediction	claim
20	180	A novel dependency-to-string model for statistical machine translation	claim
21	179	Compositional Matrix-Space Models for Sentiment Analysis	claim
22	178	Heuristic Search for Non-Bottom-Up Tree Structure Prediction	claim
23	177	Linking Entities to a Knowledge Base with Query Expansion	claim
24	177	Simple Effective Decipherment via Combinatorial Optimization	claim
25	177	Discovering Relations between Noun Categories	claim
26	175	Learning Sentential Paraphrases from Bilingual Parallel Corpora for Text-to-Text Generation	claim
27	174	Hierarchical Phrase-based Translation Representations	claim
28	172	Domain Adaptation via Pseudo In-Domain Data Selection	claim
29	171	Quasi-Synchronous Phrase Dependency Grammars for Machine Translation	claim
30	171	Latent Vector Weighting for Word Meaning in Context	claim
31	169	Cross-Cutting Models of Lexical Semantics	claim
32	168	Optimizing Semantic Coherence in Topic Models	claim
33	168	Random Walk Inference and Learning in A Large Scale Knowledge Base	claim
34	166	Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction	claim
35	166	Multi-Source Transfer of Delexicalized Dependency Parsers	claim
36	165	Bootstrapping Semantic Parsers from Conversations	claim
37	165	Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances	claim
38	164	Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation	claim
39	163	Twitter Catches The Flu: Detecting Influenza Epidemics using Twitter	claim
40	163	Entire Relaxation Path for Maximum Entropy Problems	claim
41	163	Bootstrapped Named Entity Recognition for Product Attribute Extraction	claim
42	162	A Simple Word Trigger Method for Social Tag Suggestion	claim
43	162	Modelling Discourse Relations for Arabic	claim
44	161	Relation Extraction with Relation Topics	claim
45	161	A Probabilistic Forest-to-String Model for Language Generation from Typed Lambda Calculus Expressions	claim
46	161	Discriminating Gender on Twitter	claim
47	159	A Joint Model for Extended Semantic Role Labeling	claim
48	159	Improved Transliteration Mining Using Graph Reinforcement	claim
49	159	Probabilistic models of similarity in syntactic context	claim
50	159	Cooooooooooooooollllllllllllll!!!!!!!!!!!!!! Using Word Lengthening to Detect Sentiment in Microblogs	claim
51	159	Universal Morphological Analysis using Structured Nearest Neighbor Prediction	claim
52	158	Hierarchical Verb Clustering Using Graph Factorization	claim
53	158	Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming	claim
54	157	Identifying Relations for Open Information Extraction	claim
55	157	Dual Decomposition with Many Overlapping Components	claim
56	157	Large-Scale Cognate Recovery	claim
57	156	Discovering Morphological Paradigms from Plain Text Using a Dirichlet Process Mixture Model	claim
58	156	Linguistic Redundancy in Twitter	claim
59	156	Correcting Semantic Collocation Errors with L1-induced Paraphrases	claim
60	156	Training dependency parsers by jointly optimizing multiple objectives	claim
61	156	Splitting Noun Compounds via Monolingual and Bilingual Paraphrasing: A Study on Japanese Katakana Words	claim
62	155	Exact Decoding of Phrase-Based Translation Models through Lagrangian Relaxation	claim
63	154	Active Learning with Amazon Mechanical Turk	claim
64	154	Unsupervised Semantic Role Induction with Graph Partitioning	claim
65	154	Identifying and Following Expert Investors in Stock Microblogs	claim
66	154	Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models	claim
67	153	Robust Disambiguation of Named Entities in Text	claim
68	153	Training a Parser for Machine Translation Reordering	claim
69	153	A Correction Model for Word Alignments	claim
70	153	Reducing Grounded Learning Tasks To Grammatical Inference	claim
71	152	Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation	claim
72	151	Generating Subsequent Reference in Shared Visual Scenes: Computation vs Re-Use	claim
73	150	Multilayer Sequence Labeling	claim
74	150	Non-parametric Bayesian Segmentation of Japanese Noun Phrases	claim
75	150	Computing Logical Form on Regulatory Texts	claim
76	150	A generative model for unsupervised discovery of relations and argument classes from clinical texts	claim
77	149	Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews	claim
78	148	Experimental Support for a Categorical Compositional Distributional Model of Meaning	claim
79	148	Cache-based Document-level Statistical Machine Translation	claim
80	147	Predicting Thread Discourse Structure over Technical Web Forums	claim
81	146	Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora	claim
82	145	Better Evaluation Metrics Lead to Better Machine Translation	claim
83	144	Analyzing Methods for Improving Precision of Pivot Based Bilingual Dictionaries	claim
84	143	Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP	claim
85	143	A Fast Re-scoring Strategy to Capture Long-Distance Dependencies	claim
86	141	Ranking Human and Machine Summarization Systems	claim
87	141	Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases	claim
88	140	Approximate Scalable Bounded Space Sketch for Large Data NLP	claim
89	140	Bayesian Checking for Topic Models	claim
90	139	Unsupervised Information Extraction with Distributional Prior Knowledge	claim
91	139	Class Label Enhancement via Related Instances	claim
92	139	Parser Evaluation over Local and Non-Local Deep Dependencies in a Large Corpus	claim
93	138	A Model of Discourse Predictions in Human Sentence Processing	claim
94	137	A Fast, Accurate, Non-Projective, Semantically-Enriched Parser	claim
95	136	Summarize What You Are Interested In: An Optimization Framework for Interactive Personalized Summarization	claim
96	135	Augmenting String-to-Tree Translation Models with Fuzzy Use of Source-side Syntax	claim
97	135	Harnessing different knowledge sources to measure semantic relatedness under a uniform model	claim
98	135	Learning Local Content Shift Detectors from Document-level Information	claim
99	135	Fast and Robust Joint Models for Biomedical Event Extraction	claim
100	135	Third-order Variational Reranking on Packed-Shared Dependency Forests	claim
101	135	Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation	claim
102	135	Tuning as Ranking	claim
103	134	Unsupervised Learning of Selectional Restrictions and Detection of Argument Coercions	claim
104	134	Semi-supervised CCG Lexicon Extension	claim
105	133	Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance	claim
106	133	Minimum Imputed-Risk: Unsupervised Discriminative Training for Machine Translation	claim
107	133	Data-Driven Response Generation in Social Media	claim
108	132	Corroborating Text Evaluation Results with Heterogeneous Measures	claim
109	131	Learning General Connotation of Words using Graph-based Algorithms	claim
110	130	Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus	claim
111	130	Syntax-Based Grammaticality Improvement using CCG and Guided Search	claim
112	129	Unsupervised Discovery of Discourse Relations for Eliminating Intra-sentence Polarity Ambiguities	claim
113	127	SMT Helps Bitext Dependency Parsing	claim
114	127	Language Models for Machine Translation: Original vs. Translated Texts	claim
115	125	Relation Acquisition using Word Classes and Partial Patterns	claim
116	125	Hypotheses Selection Criteria in a Reranking Framework for Spoken Language Understanding	claim
117	123	Fast Generation of Translation Forest for Large-Scale SMT Discriminative Training	claim
118	122	Learning the Information Status of Noun Phrases in Spoken Dialogues	claim
119	122	A Generate and Rank Approach to Sentence Paraphrasing	claim
120	120	The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources	claim
121	118	Structured Lexical Similarity via Convolution Kernels on Dependency Trees	claim
122	114	Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing	claim
123	113	Enhancing Chinese Word Segmentation Using Unlabeled Data	claim

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