Causal Relation Extraction Using Cue Phrase and Lexical Pair Probabilities

Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities

Heuristic Based Extraction of Causal Relations from Annotated Causal Cue

Heuristic Based Extraction of Causal Relations from Annotated Causal Cue Phrases By Matthew J. Hausknecht This work focuses on the detection and extraction of Causal Relations from open domain text starting with annotated Causal Cue Phrases (CCPs). It is argued that the problem of causality extraction should be decomposed into two distinct subtasks. First, it is necessary to identify Causal Cue...

Causal Relation Extraction

This paper presents a supervised method for the detection and extraction of Causal Relations from open domain text. First we give a brief outline of the definition of causation and how it relates to other Semantic Relations, as well as a characterization of their encoding. In this work, we only consider marked and explicit causations. Our approach first identifies the syntactic patterns that ma...

رویکردی با ناظر در استخراج واژگان کلیدی اسناد فارسی با استفاده از زنجیره‌های لغوی

Keywords are the main focal points of interest within a text, which intends to represent the principal concepts outlined in the document. Determining the keywords using traditional methods is a time consuming process and requires specialized knowledge of the subject. For the purposes of indexing the vast expanse of electronic documents, it is important to automate the keyword extraction task. S...

Lexical Features for Statistical Machine Translation

Title of dissertation: LEXICAL FEATURES FOR STATISTICAL MACHINE TRANSLATION Jacob Devlin, Master of Science, 2009 Dissertation directed by: Professor Bonnie Dorr Department of Computer Science In modern phrasal and hierarchical statistical machine translation systems, two major features model translation: rule translation probabilities and lexical smoothing scores. The rule translation probabil...