<--- Back to Details
First PageDocument Content
Natural language processing / Text Retrieval Conference / Human–computer interaction / Relevance / H5 / Evaluation / Usability / IR evaluation / Information science / Information retrieval / Science
Date: 2011-07-03 18:07:22
Natural language processing
Text Retrieval Conference
Human–computer interaction
Relevance
H5
Evaluation
Usability
IR evaluation
Information science
Information retrieval
Science

Some Lessons Learned from the TREC Legal Track

Add to Reading List

Source URL: trec-legal.umiacs.umd.edu

Download Document from Source Website

File Size: 124,57 KB

Share Document on Facebook

Similar Documents

Conversation / Oral communication / Psychotherapy / Crisis intervention / Human behavior / School counselor

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff∗, Kevin Clark∗, Jure Leskovec Stanford University {althoff, kevclark, jure}@cs.stanford.edu

DocID: 1xVji - View Document

Empirical data on corpus design and usage in biomedical natural language processing

DocID: 1vnzz - View Document

Chapter 1 An Introduction to SA Sentiment Analysis (SA) refers to a broad field of study in Natural Language Processing (NLP) and Artificial Intelligence (AI). In general, Sentiment Analysis is the task of identifying th

DocID: 1vjUA - View Document

The Social and the Neural Network: How to Make Natural Language Processing about People again Dirk Hovy Bocconi University Via Roberto SarfattiMilan, MI, Italy

DocID: 1v7Zu - View Document

Automated Scoring of Chatbot Responses in Conversational Dialogue Steven Kester Yuwono, Wu Biao, Luis Fernando D’Haro Abstract Rapid advancement in natural language processing (NLP) and machine learning has led to the

DocID: 1uXgQ - View Document