Semantic Analysis and Filtering of Text

Abstract

The report describes the work of the Semantic Analysis and Filtering of Text (SAFT) project at CMU and USC/ISI funded by DARPAs Deep Exploration and Filtering of Text (DEFT). The project investigated challenging questions at the heart of multilingual semantics-oriented natural language understanding of news and similar genres. The project included six major teams/groups, focusing on: (i) semantic frame analysis, (ii) entity detection and linking, (iii) event relation extraction, (iv) event mention detection/coreference, (v) inference/relation discovery, and (vi) bringing everything together in a single multilingual knowledge base supporting English, Chinese, and Spanish. The algorithms were assembled and evaluated every year in the Text Analysis Conference (TAC) KBP and Cold Start KBP evaluations organized by National Institute of Standards and Technology (NIST).

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1055310

Entities

People

  • Eduard Hovy

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Detection
  • Detectors
  • Information Science
  • Language
  • Linguistics
  • Machine Learning
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Ontologies

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Speech Processing/Speech Recognition.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Translation