Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
Candace Sidner, Tanja Schultz, Matthew Stone, ChengXiang Zhai (Editors)
- Anthology ID:
- N07-1
- Month:
- April
- Year:
- 2007
- Address:
- Rochester, New York
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/N07-1/
- DOI:
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/N07-1.pdf
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference
Candace Sidner
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Tanja Schultz
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Matthew Stone
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ChengXiang Zhai
Exploiting Acoustic and Syntactic Features for Prosody Labeling in a Maximum Entropy Framework
Vivek Kumar Rangarajan Sridhar
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Srinivas Bangalore
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Shrikanth Narayanan
To Memorize or to Predict: Prominence labeling in Conversational Speech
Ani Nenkova
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Jason Brenier
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Anubha Kothari
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Sasha Calhoun
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Laura Whitton
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David Beaver
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Dan Jurafsky
Avoiding and Resolving Initiative Conflicts in Dialogue
Fan Yang
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Peter A. Heeman
What Decisions Have You Made?: Automatic Decision Detection in Meeting Conversations
Pei-Yun Hsueh
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Johanna D. Moore
Automatic Evaluation of Machine Translation Based on Rate of Accomplishment of Sub-Goals
Kiyotaka Uchimoto
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Katsunori Kotani
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Yujie Zhang
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Hitoshi Isahara
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
Ding Liu
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Daniel Gildea
Generating Case Markers in Machine Translation
Kristina Toutanova
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Hisami Suzuki
Direct Translation Model 2
Abraham Ittycheriah
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Salim Roukos
Structured Local Training and Biased Potential Functions for Conditional Random Fields with Application to Coreference Resolution
Yejin Choi
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Claire Cardie
Coreference or Not: A Twin Model for Coreference Resolution
Xiaoqiang Luo
First-Order Probabilistic Models for Coreference Resolution
Aron Culotta
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Michael Wick
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Andrew McCallum
Information Retrieval On Empty Fields
Victor Lavrenko
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Xing Yi
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James Allan
Improving Diversity in Ranking using Absorbing Random Walks
Xiaojin Zhu
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Andrew Goldberg
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Jurgen Van Gael
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David Andrzejewski
A Random Text Model for the Generation of Statistical Language Invariants
Chris Biemann
A Systematic Exploration of the Feature Space for Relation Extraction
Jing Jiang
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ChengXiang Zhai
Unsupervised Resolution of Objects and Relations on the Web
Alexander Yates
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Oren Etzioni
The Domain Restriction Hypothesis: Relating Term Similarity and Semantic Consistency
Alfio Massimiliano Gliozzo
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Marco Pennacchiotti
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Patrick Pantel
Bayesian Inference for PCFGs via Markov Chain Monte Carlo
Mark Johnson
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Thomas Griffiths
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Sharon Goldwater
Worst-Case Synchronous Grammar Rules
Daniel Gildea
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Daniel Štefankovič
High-Performance, Language-Independent Morphological Segmentation
Sajib Dasgupta
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Vincent Ng
Probabilistic Generation of Weather Forecast Texts
Anja Belz
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
Yuk Wah Wong
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Raymond Mooney
Lexicalized Markov Grammars for Sentence Compression
Michel Galley
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Kathleen McKeown
Hybrid Models for Semantic Classification of Chinese Unknown Words
Xiaofei Lu
Using Wikipedia for Automatic Word Sense Disambiguation
Rada Mihalcea
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Andrei Alexandrescu
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Katrin Kirchhoff
Is Question Answering Better than Information Retrieval? Towards a Task-Based Evaluation Framework for Question Series
Jimmy Lin
A Case For Shorter Queries, and Helping Users Create Them
Giridhar Kumaran
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James Allan
Combining Outputs from Multiple Machine Translation Systems
Antti-Veikko Rosti
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Necip Fazil Ayan
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Bing Xiang
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Spyros Matsoukas
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Richard Schwartz
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Bonnie Dorr
Joint Determination of Anaphoricity and Coreference Resolution using Integer Programming
Pascal Denis
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Jason Baldridge
Automating Creation of Hierarchical Faceted Metadata Structures
Emilia Stoica
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Marti Hearst
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Megan Richardson
Cross-Instance Tuning of Unsupervised Document Clustering Algorithms
Damianos Karakos
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Jason Eisner
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Sanjeev Khudanpur
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Carey Priebe
Using “Annotator Rationales” to Improve Machine Learning for Text Categorization
Omar Zaidan
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Jason Eisner
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Christine Piatko
Combining Reinformation Learning with Information-State Update Rules
Peter Heeman
Estimating the Reliability of MDP Policies: a Confidence Interval Approach
Joel Tetreault
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Dan Bohus
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Diane Litman
An Exploration of Eye Gaze in Spoken Language Processing for Multimodal Conversational Interfaces
Shaolin Qu
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Joyce Chai
Extracting Semantic Orientations of Phrases from Dictionary
Hiroya Takamura
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Takashi Inui
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Manabu Okumura
Multiple Aspect Ranking Using the Good Grief Algorithm
Benjamin Snyder
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Regina Barzilay
Extracting Appraisal Expressions
Kenneth Bloom
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Navendu Garg
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Shlomo Argamon
Whose Idea Was This, and Why Does it Matter? Attributing Scientific Work to Citations
Advaith Siddharthan
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Simone Teufel
Combining Probability-Based Rankers for Action-Item Detection
Paul N. Bennett
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Jaime G. Carbonell
Multi-Document Relationship Fusion via Constraints on Probabilistic Databases
Gideon Mann
An Integrated Approach to Measuring Semantic Similarity between Words Using Information Available on the Web
Danushka Bollegala
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Yutaka Matsuo
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Mitsuru Ishizuka
An Information Retrieval Approach to Sense Ranking
Mirella Lapata
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Frank Keller
Near-Synonym Choice in an Intelligent Thesaurus
Diana Inkpen
A Log-Linear Block Transliteration Model based on Bi-Stream HMMs
Bing Zhao
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Nguyen Bach
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Ian Lane
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Stephan Vogel
Applying Many-to-Many Alignments and Hidden Markov Models to Letter-to-Phoneme Conversion
Sittichai Jiampojamarn
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Grzegorz Kondrak
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Tarek Sherif
Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
Mathias Creutz
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Teemu Hirsimäki
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Mikko Kurimo
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Antti Puurula
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Janne Pylkkönen
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Vesa Siivola
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Matti Varjokallio
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Ebru Arisoy
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Murat Saraçlar
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Andreas Stolcke
Tree Revision Learning for Dependency Parsing
Giuseppe Attardi
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Massimiliano Ciaramita
Incremental Non-Projective Dependency Parsing
Joakim Nivre
Improved Inference for Unlexicalized Parsing
Slav Petrov
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Dan Klein
Approximate Factoring for A* Search
Aria Haghighi
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John DeNero
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Dan Klein
A Cascaded Machine Learning Approach to Interpreting Temporal Expressions
David Ahn
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Joris van Rantwijk
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Maarten de Rijke
Building and Refining Rhetorical-Semantic Relation Models
Sasha Blair-Goldensohn
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Kathleen McKeown
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Owen Rambow
A Unified Local and Global Model for Discourse Coherence
Micha Elsner
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Joseph Austerweil
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Eugene Charniak
Randomized Decoding for Selection-and-Ordering Problems
Pawan Deshpande
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Regina Barzilay
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David Karger
Multilingual Structural Projection across Interlinear Text
Fei Xia
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William Lewis
Combining Lexical and Grammatical Features to Improve Readability Measures for First and Second Language Texts
Michael Heilman
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Kevyn Collins-Thompson
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Jamie Callan
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Maxine Eskenazi
Automatic Assessment of Student Translations for Foreign Language Tutoring
Chao Wang
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Stephanie Seneff
Automatic and Human Scoring of Word Definition Responses
Kevyn Collins-Thompson
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Jamie Callan
A Comparison of Pivot Methods for Phrase-Based Statistical Machine Translation
Masao Utiyama
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Hitoshi Isahara
Efficient Phrase-Table Representation for Machine Translation with Applications to Online MT and Speech Translation
Richard Zens
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Hermann Ney
An Efficient Two-Pass Approach to Synchronous-CFG Driven Statistical MT
Ashish Venugopal
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Andreas Zollmann
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Stephan Vogel
Statistical Phrase-Based Post-Editing
Michel Simard
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Cyril Goutte
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Pierre Isabelle
Automatic Answer Typing for How-Questions
Christopher Pinchak
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Shane Bergsma
A Probabilistic Framework for Answer Selection in Question Answering
Jeongwoo Ko
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Luo Si
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Eric Nyberg
Question Answering Using Integrated Information Retrieval and Information Extraction
Barry Schiffman
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Kathleen McKeown
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Ralph Grishman
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James Allan
Toward Multimedia: A String Pattern-Based Passage Ranking Model for Video Question Answering
Yu-Chieh Wu
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Jie-Chi Yang
Can Semantic Roles Generalize Across Genres?
Szu-ting Yi
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Edward Loper
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Martha Palmer
Towards Robust Semantic Role Labeling
Sameer Pradhan
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Wayne Ward
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James Martin
ISP: Learning Inferential Selectional Preferences
Patrick Pantel
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Rahul Bhagat
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Bonaventura Coppola
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Timothy Chklovski
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Eduard Hovy
Computing Semantic Similarity between Skill Statements for Approximate Matching
Feng Pan
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Robert Farrell