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EMNLP
2010

333views Natural Language Processing» more EMNLP 2010»

What's with the Attitude? Identifying Sentences with Attitude in Online Discussions

13 years 10 months ago

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Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very import...

Ahmed Hassan, Vahed Qazvinian, Dragomir R. Radev

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Id	Views	Title	Status

1	333	What's with the Attitude? Identifying Sentences with Attitude in Online Discussions	claim
2	263	A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages	claim
3	255	Holistic Sentiment Analysis Across Languages: Multilingual Supervised Latent Dirichlet Allocation	claim
4	237	Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions	claim
5	228	WikiWars: A New Corpus for Research on Temporal Expressions	claim
6	227	Context Comparison of Bursty Events in Web Search and Online Media	claim
7	226	Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks	claim
8	220	Assessing Phrase-Based Translation Models with Oracle Decoding	claim
9	217	Improving Gender Classification of Blog Authors	claim
10	214	Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models	claim
11	208	Learning Recurrent Event Queries for Web Search	claim
12	207	Automatic Discovery of Manner Relations and its Applications	claim
13	204	Automatic Detection and Classification of Social Events	claim
14	204	A Semi-Supervised Method to Learn and Construct Taxonomies Using the Web	claim
15	202	Mining Name Translations from Entity Graph Mapping	claim
16	199	A New Approach to Lexical Disambiguation of Arabic Text	claim
17	198	Training Continuous Space Language Models: Some Practical Issues	claim
18	192	Function-Based Question Classification for General QA	claim
19	190	Collective Cross-Document Relation Extraction Without Labelled Data	claim
20	188	Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing	claim
21	185	A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model	claim
22	185	Cross Language Text Classification by Model Translation and Semi-Supervised Learning	claim
23	182	Maximum Entropy Based Phrase Reordering for Hierarchical Phrase-Based Translation	claim
24	179	Automatic Keyphrase Extraction via Topic Decomposition	claim
25	179	Positional Language Models for Clinical Information Retrieval	claim
26	178	Turbo Parsers: Dependency Parsing by Approximate Variational Inference	claim
27	178	Summarizing Contrastive Viewpoints in Opinionated Text	claim
28	175	Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks	claim
29	174	Learning First-Order Horn Clauses from Web Text	claim
30	172	Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation	claim
31	171	Nouns are Vectors, Adjectives are Matrices: Representing Adjective-Noun Constructions in Semantic Space	claim
32	170	Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective	claim
33	168	Word Sense Induction Disambiguation Using Hierarchical Random Graphs	claim
34	167	Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval	claim
35	166	Discriminative Word Alignment with a Function Word Reordering Model	claim
36	165	Hashing-Based Approaches to Spelling Correction of Personal Names	claim
37	165	Top-Down Nearly-Context-Sensitive Parsing	claim
38	162	Title Generation with Quasi-Synchronous Grammar	claim
39	161	Hierarchical Phrase-Based Translation Grammars Extracted from Alignment Posterior Probabilities	claim
40	161	Measuring Distributional Similarity in Context	claim
41	160	Joint Inference for Bilingual Semantic Role Labeling	claim
42	160	Confidence in Structured-Prediction Using Confidence-Weighted Models	claim
43	156	Automatic Analysis of Rhythmic Poetry with Applications to Generation and Translation	claim
44	155	Unsupervised Parse Selection for HPSG	claim
45	154	Combining Unsupervised and Supervised Alignments for MT: An Empirical Study	claim
46	154	Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification	claim
47	153	Resolving Event Noun Phrases to Their Verbal Mentions	claim
48	153	Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid	claim
49	153	Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping	claim
50	152	Using Universal Linguistic Knowledge to Guide Grammar Induction	claim
51	152	A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension	claim
52	151	PEM: A Paraphrase Evaluation Metric Exploiting Parallel Texts	claim
53	151	Multi-Level Structured Models for Document-Level Sentiment Classification	claim
54	150	Generating Confusion Sets for Context-Sensitive Error Correction	claim
55	150	Towards Conversation Entailment: An Empirical Investigation	claim
56	149	A Game-Theoretic Approach to Generating Spatial Descriptions	claim
57	149	A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC	claim
58	149	Statistical Machine Translation with a Factorized Grammar	claim
59	149	Inducing Probabilistic CCG Grammars from Logical Form with Higher-Order Unification	claim
60	149	Constraints Based Taxonomic Relation Classification	claim
61	146	A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution	claim
62	145	Automatic Comma Insertion for Japanese Text Generation	claim
63	144	Automatically Producing Plot Unit Representations for Narrative Text	claim
64	144	Minimum Error Rate Training by Sampling the Translation Lattice	claim
65	143	It Depends on the Translation: Unsupervised Dependency Parsing via Word Alignment	claim
66	143	A Latent Variable Model for Geographic Lexical Variation	claim
67	143	Practical Linguistic Steganography Using Contextual Synonym Substitution and Vertex Colour Coding	claim
68	142	A Multi-Pass Sieve for Coreference Resolution	claim
69	141	An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL	claim
70	141	Uptraining for Accurate Deterministic Question Parsing	claim
71	140	A Probabilistic Morphological Analyzer for Syriac	claim
72	139	Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails	claim
73	139	Better Punctuation Prediction with Dynamic Conditional Random Fields	claim
74	138	Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation	claim
75	138	Improved Fully Unsupervised Parsing with Zoomed Learning	claim
76	138	Negative Training Data Can be Harmful to Text Classification	claim
77	137	Inducing Word Senses to Improve Web Search Result Clustering	claim
78	137	Translingual Document Representations from Discriminative Projections	claim
79	136	Crouching Dirichlet, Hidden Markov Model: Unsupervised POS Tagging with Context Local Tag Generation	claim
80	134	We're Not in Kansas Anymore: Detecting Domain Changes in Streams	claim
81	134	Incorporating Content Structure into Text Analysis Applications	claim
82	133	Improving Translation via Targeted Paraphrasing	claim
83	133	On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing	claim
84	130	What a Parser Can Learn from a Semantic Role Labeler and Vice Versa	claim
85	130	Handling Noisy Queries in Cross Language FAQ Retrieval	claim
86	130	Automatic Evaluation of Translation Quality for Distant Language Pairs	claim
87	130	SRL-Based Verb Selection for ESL	claim
88	130	Utilizing Extra-Sentential Context for Parsing	claim
89	129	Dual Decomposition for Parsing with Non-Projective Head Automata	claim
90	127	Classifying Dialogue Acts in One-on-One Live Chats	claim
91	127	The Necessity of Combining Adaptation Methods	claim
92	125	Improving Mention Detection Robustness to Noisy Input	claim
93	124	Evaluating Models of Latent Document Semantics in the Presence of OCR Errors	claim
94	124	Further Meta-Evaluation of Broad-Coverage Surface Realization	claim
95	123	Unsupervised Discovery of Negative Categories in Lexicon Bootstrapping	claim
96	122	NLP on Spoken Documents Without ASR	claim
97	122	Identifying Functional Relations in Web Text	claim
98	122	Predicting the Semantic Compositionality of Prefix Verbs	claim
99	122	SCFG Decoding Without Binarization	claim
100	120	Simple Type-Level Unsupervised POS Tagging	claim
101	119	Tense Sense Disambiguation: A New Syntactic Polysemy Task	claim
102	119	Learning the Relative Usefulness of Questions in Community QA	claim
103	116	Word-Based Dialect Identification with Georeferenced Rules	claim
104	116	A Unified Framework for Scope Learning via Simplified Shallow Semantic Parsing	claim
105	116	Modeling Perspective Using Adaptor Grammars	claim
106	114	A Simple Domain-Independent Probabilistic Approach to Generation	claim
107	114	'Poetic' Statistical Machine Translation: Rhyme and Meter	claim
108	114	Discriminative Sample Selection for Statistical Machine Translation	claim
109	113	Effects of Empty Categories on Machine Translation	claim
110	113	Facilitating Translation Using Source Language Paraphrase Lattices	claim
111	113	Using Unknown Word Techniques to Learn Known Words	claim
112	112	Latent-Descriptor Clustering for Unsupervised POS Induction	claim
113	111	Efficient Incremental Decoding for Tree-to-String Translation	claim
114	110	A Mixture Model with Sharing for Lexical Semantics	claim
115	110	Evaluating the Impact of Alternative Dependency Graph Encodings on Solving Event Extraction Tasks	claim
116	109	Modeling Organization in Student Essays	claim
117	108	Multi-Document Summarization Using A* Search and Discriminative Learning	claim
118	106	Enhancing Mention Detection Using Projection via Aligned Corpora	claim
119	104	Self-Training with Products of Latent Variable Grammars	claim
120	104	Lessons Learned in Part-of-Speech Tagging of Conversational Speech	claim
121	92	Two Decades of Unsupervised POS Induction: How Far Have We Come?	claim

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