NAACL 2007 - PDF Preprint Papers

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NAACL
2007

232views Computational Linguistics» more NAACL 2007»

Creating a Knowledge Base from a Collaboratively Generated Encyclopedia

14 years 26 days ago

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We present our work on using Wikipedia as a knowledge source for Natural Language Processing. We ﬁrst describe our previous work on computing semantic relatedness from Wikipedia...

Simone Paolo Ponzetto

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Id	Views	Title	Status

1	232	Creating a Knowledge Base from a Collaboratively Generated Encyclopedia	claim
2	192	Bayesian Inference for PCFGs via Markov Chain Monte Carlo	claim
3	183	A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation	claim
4	182	Chinese Named Entity Recognition with Cascaded Hybrid Model	claim
5	170	Comparing Wikipedia and German Wordnet by Evaluating Semantic Relatedness on Multiple Datasets	claim
6	166	Advances in the CMU/Interact Arabic GALE Transcription System	claim
7	166	Agenda-Based User Simulation for Bootstrapping a POMDP Dialogue System	claim
8	157	Combining Outputs from Multiple Machine Translation Systems	claim
9	156	Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP	claim
10	156	The CALO Meeting Assistant	claim
11	155	A Probabilistic Framework for Answer Selection in Question Answering	claim
12	155	Joint Morphological-Lexical Language Modeling for Machine Translation	claim
13	154	Translation Model Pruning via Usage Statistics for Statistical Machine Translation	claim
14	150	Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation	claim
15	150	Clustered Sub-Matrix Singular Value Decomposition	claim
16	150	Automatic Acquisition of Grammatical Types for Nouns	claim
17	148	Analysis and System Combination of Phrase- and N-Gram-Based Statistical Machine Translation Systems	claim
18	144	Reversible Sound-to-Letter/Letter-to-Sound Modeling Based on Syllable Structure	claim
19	142	Semi-Supervised Learning for Semantic Parsing using Support Vector Machines	claim
20	142	Exploiting Event Semantics to Parse the Rhetorical Structure of Natural Language Text	claim
21	139	Automatic Assessment of Student Translations for Foreign Language Tutoring	claim
22	136	Improved Inference for Unlexicalized Parsing	claim
23	135	Arabic Diacritization through Full Morphological Tagging	claim
24	133	Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation	claim
25	132	Unsupervised Natural Language Processing Using Graph Models	claim
26	132	Analysis of Summarization Evaluation Experiments	claim
27	130	Multiple Aspect Ranking Using the Good Grief Algorithm	claim
28	130	Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts	claim
29	130	POSSLT: A Korean to English Spoken Language Translation System	claim
30	128	Automatic Evaluation of Machine Translation Based on Rate of Accomplishment of Sub-Goals	claim
31	128	Incremental Non-Projective Dependency Parsing	claim
32	127	A Log-Linear Block Transliteration Model based on Bi-Stream HMMs	claim
33	126	Entity Extraction is a Boring Solved Problem - Or is it?	claim
34	125	Comparing User Simulation Models For Dialog Strategy Learning	claim
35	125	Are Very Large N-Best Lists Useful for SMT?	claim
36	124	An Information Retrieval Approach to Sense Ranking	claim
37	123	Adaptive Tutorial Dialogue Systems Using Deep NLP Techniques	claim
38	120	A Conversational In-Car Dialog System	claim
39	119	Coreference or Not: A Twin Model for Coreference Resolution	claim
40	119	Combination of Statistical Word Alignments Based on Multiple Preprocessing Schemes	claim
41	119	Implicitly Supervised Language Model Adaptation for Meeting Transcription	claim
42	118	What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations	claim
43	118	Automatic Answer Typing for How-Questions	claim
44	118	Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming	claim
45	116	Tree Revision Learning for Dependency Parsing	claim
46	116	OMS-J: An Opinion Mining System for Japanese Weblog Reviews Using a Combination of Supervised and Unsupervised Approaches	claim
47	115	Automating Creation of Hierarchical Faceted Metadata Structures	claim
48	115	Extracting Appraisal Expressions	claim
49	115	Knowledge-Based Labeling of Semantic Relationships in English	claim
50	114	A Geometric Interpretation of Non-Target-Normalized Maximum Cross-Channel Correlation for Vocal Activity Detection in Meetings	claim
51	113	Hybrid Models for Semantic Classification of Chinese Unknown Words	claim
52	112	Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages	claim
53	112	Question Answering Using Integrated Information Retrieval and Information Extraction	claim
54	112	Semantic Frames in Romanian Natural Language Processing Systems	claim
55	111	Kernel Regression Based Machine Translation	claim
56	111	To Memorize or to Predict: Prominence labeling in Conversational Speech	claim
57	111	First-Order Probabilistic Models for Coreference Resolution	claim
58	110	Relationship between Non-Projective Edges, Their Level Types, and Well-Nestedness	claim
59	109	High-Performance, Language-Independent Morphological Segmentation	claim
60	108	Direct Translation Model 2	claim
61	107	Unsupervised Resolution of Objects and Relations on the Web	claim
62	107	Lexicalized Markov Grammars for Sentence Compression	claim
63	106	Can Semantic Roles Generalize Across Genres?	claim
64	105	A Random Text Model for the Generation of Statistical Language Invariants	claim
65	105	Statistical Phrase-Based Post-Editing	claim
66	105	Text Comparison Using Machine-Generated Nuggets	claim
67	103	Detection of Non-Native Sentences Using Machine-Translated Training Data	claim
68	103	Exploring Affect-Context Dependencies for Adaptive System Development	claim
69	102	Situated Models of Meaning for Sports Video Retrieval	claim
70	102	Modifying SO-PMI for Japanese Weblog Opinion Mining by Using a Balancing Factor and Detecting Neutral Expressions	claim
71	101	Probabilistic Generation of Weather Forecast Texts	claim
72	101	Arabic Dialect Processing Tutorial	claim
73	99	Improving Diversity in Ranking using Absorbing Random Walks	claim
74	99	On using Articulatory Features for Discriminative Speaker Adaptation	claim
75	98	Language Modeling for Determiner Selection	claim
76	97	Near-Synonym Choice in an Intelligent Thesaurus	claim
77	96	Multilingual Structural Projection across Interlinear Text	claim
78	95	Generating Case Markers in Machine Translation	claim
79	95	Using "Annotator Rationales" to Improve Machine Learning for Text Categorization	claim
80	95	An Integrated Architecture for Speech-Input Multi-Target Machine Translation	claim
81	95	Stating with Certainty or Stating with Doubt: Intercoder Reliability Results for Manual Annotation of Epistemically Modalized Statements	claim
82	95	Combining Evidence for Improved Speech Retrieval	claim
83	94	Combining Probability-Based Rankers for Action-Item Detection	claim
84	94	Are Some Speech Recognition Errors Easier to Detect than Others?	claim
85	93	A High Accuracy Method for Semi-Supervised Information Extraction	claim
86	91	Randomized Decoding for Selection-and-Ordering Problems	claim
87	91	Cross-Instance Tuning of Unsupervised Document Clustering Algorithms	claim
88	91	RH: A Retro-Hybrid Parser	claim
89	89	Dynamic Use of Ontologies in Dialogue Systems	claim
90	87	The Automated Text Adaptation Tool	claim
91	86	ILR-Based MT Comprehension Test with Multi-Level Questions	claim
92	84	A Cascaded Machine Learning Approach to Interpreting Temporal Expressions	claim
93	84	Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion	claim
94	84	Subtree Mining for Relation Extraction from Wikipedia	claim
95	83	A Case For Shorter Queries, and Helping Users Create Them	claim
96	82	Extracting Semantic Orientations of Phrases from Dictionary	claim
97	82	Speech Summarization Without Lexical Features for Mandarin Broadcast News	claim
98	81	Worst-Case Synchronous Grammar Rules	claim
99	81	Voice-Rate: A Dialog System for Consumer Ratings	claim
100	80	Towards Robust Semantic Role Labeling	claim
101	80	Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data	claim
102	79	Joint Versus Independent Phonological Feature Models within CRF Phone Recognition	claim
103	79	A Three-Step Deterministic Parser for Chinese Dependency Parsing	claim
104	78	Information Retrieval On Empty Fields	claim
105	78	Automatic and Human Scoring of Word Definition Responses	claim
106	75	A Systematic Exploration of the Feature Space for Relation Extraction	claim
107	73	Tagging Icelandic Text using a Linguistic and a Statistical Tagger	claim
108	72	Hybrid Document Indexing with Spectral Embedding	claim
109	70	Generalized Graphical Abstractions for Statistical Machine Translation	claim
110	68	Discriminative Alignment Training without Annotated Data for Machine Translation	claim
111	68	K-Best Suffix Arrays	claim
112	67	Document Similarity Measures to Distinguish Native vs. Non-Native Essay Writers	claim
113	66	Whose Idea Was This, and Why Does it Matter? Attributing Scientific Work to Citations	claim
114	66	Using Wikipedia for Automatic Word Sense Disambiguation	claim
115	64	Statistical Language Models for Information Retrieval	claim
116	61	A Unified Local and Global Model for Discourse Coherence	claim
117	61	Selective Phrase Pair Extraction for Improved Statistical Machine Translation	claim
118	53	Multi-Document Relationship Fusion via Constraints on Probabilistic Databases	claim

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