Dan Jurafsky

Publications
Influence

Distant supervision for relation extraction without labeled data

M. Mintz, Steven Bills, R. Snow, Dan Jurafsky
Computer Science
ACL/IJCNLP
2 August 2009

We use Freebase, a large semantic database of several thousand relations, to provide distant supervision for relation extraction. Expand

2,041
274
PDF

Speech and Language Processing

Dan Jurafsky, James H. Martin
Psychology
5 February 2000

is one of the most recognizablecharacters in 20th century cinema. HAL is an artiﬁcial agent capable of such advancedlanguage behavior as speaking and understanding English, and at a crucial moment… Expand

2,956
262
PDF

Speech and language processing - an introduction to natural language processing, computational linguistics, and speech recognition

Dan Jurafsky, James H. Martin
Computer Science
Prentice Hall series in artificial intelligence
2000

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Expand

3,586
250
PDF

Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks

R. Snow, Brendan T. O'Connor, Dan Jurafsky, A. Ng
Computer Science
EMNLP
25 October 2008

We explore the use of Amazon's Mechanical Turk system, a significantly cheaper and faster method for collecting annotations from non-expert contributors over the Web. Expand

1,976
153
PDF

Deep Reinforcement Learning for Dialogue Generation

J. Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao
Computer Science
EMNLP
5 June 2016

We introduce a neural conversational model based on the long-term success of dialogues to model future reward in dialogue generation. Expand

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

William L. Hamilton, J. Leskovec, Dan Jurafsky
Computer Science
ACL
30 May 2016

We develop a robust methodology for quantifying semantic change by evaluating word embeddings (PPMI, SVD, word2vec) against known historical changes. Expand

Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech

A. Stolcke, K. Ries, +7 authors M. Meteer
Computer Science
Computational Linguistics
10 June 2000

We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as STATEMENT, Question, BACKCHANNEL, Agreement, Disagreement, and Apology. Expand

Predictability Effects on Durations of Content and Function Words in Conversational English

A. Bell, Jason M. Brenier, M. Gregory, Cynthia Girand, Dan Jurafsky
Psychology
2009

In a regression study of conversational speech, we show that frequency, contextual predictability, and repetition have separate contributions to word duration, despite their substantial correlations.… Expand

Automatic Labeling of Semantic Roles

Daniel Gildea, Dan Jurafsky
Computer Science
ACL
3 October 2000

We present a system for identifying the semantic relationships, or semantic roles, filled by constituents of a sentence within a semantic frame. Expand

Adversarial Learning for Neural Dialogue Generation

J. Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, Dan Jurafsky
Computer Science
EMNLP
23 January 2017

We apply adversarial training to open-domain dialogue generation, training a system to produce sequences that are indistinguishable from human-generated dialogue utterances. Expand

Recommended Authors