Feature Set

material ID: featureset

Related Papers

A Machine Learning Approach to Pronoun Resolution in Spoken Dialogue

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

We apply a decision tree based approach to pronoun resolution in spoken dialogue. Our system deals with pronouns with NP- and non-NP-antecedents. We present a set of features designed for …...

36920

News-Oriented Keyword Indexing with Maximum Entropy Principle

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

In our information era, keywords are very useful to information retrieval, text clustering and so on. News is always a domain attracting a large amount of attention. Aiming at news …...

18075

Using Predicate-Argument Structures for Information Extraction

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

In this paper we present a novel, cus- tomizable IE paradigm that takes advan- tage of predicate-argument structures. We also introduce a new way of automatically identifying predicate argument structures, …...

36943

Semantic parsing based on FrameNet

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

This paper describes our method based on Support Vector Machines for automatically assigning seman- tic roles to constituents of English sentences. This method employs four different feature sets, one of …...

19830

An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data

Authors: nan

Publication: TIPSTER (2007)

DOI: nan

We consider the impact Active Learning (AL) has on effective and efficient text cor- pus annotation, and report on reduction rates for annotation efforts ranging up until 72%. We also …...

44687

Understanding the Value of Features for Coreference Resolution

Authors: nan

Publication: TIPSTER (2008)

DOI: nan

In recent years there has been substantial work on the important problem of coreference res- olution, most of which has concentrated on the development of new models and algo- rithmic …...

44892

Fast Boosting-based Part-of-Speech Tagging and Text Chunking with Efficient Rule Representation for Sequential Labeling

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

This paper proposes two techniques for fast sequential labeling such as part-of-speech (POS) tagging and text chunking. The first technique is a boosting-based al- gorithm that learns rules represented by …...

29537

Generalizing Sub-sentential Paraphrase Acquisition across Original Signal Type of Text Pairs

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

This paper describes a study on the impact of the original signal (text, speech, visual scene, event) of a text pair on the task of both man- ual and automatic …...

44120

Identification of Temporal Event Relationships in Biographical Accounts

Authors: nan

Publication: TIPSTER (2013)

DOI: nan

This paper examines the efficacy of the appli- cation of a pre-existing technique in the area of event-event temporal relationship identifi- cation. We attempt to both reproduce the re- sults …...

23650

Classifying Temporal Relations with Simple Features

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Approaching temporal link labelling as a classification task has already been ex- plored in several works. However, choos- ing the right feature vectors to build the classification model is still …...

43539

Fast High-Accuracy Part-of-Speech Tagging by Independent Classifiers

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

Part-of-speech (POS) taggers can be quite accurate, but for practical use, accuracy often has to be sacrificed for speed. For example, the maintainers of the Stanford tagger (Toutanova et al., …...

5819

Modelling Irony in Twitter: Feature Analysis and Evaluation

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

AbstractIrony, a creative use of language, has received scarce attention from the computational linguistics research point of view. We propose an automatic system capable of detecting irony with good accuracy …...

16879

Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractThe purpose of this research is to address the problem of extracting information from travel itineraries and discuss the challenges faced in the process. Business-to-customer emails like booking confirmations and …...

20422

Tree Representations in Transition System for RST Parsing

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe transition-based systems in the past studies propose a series of actions, to build a right-heavy binarized tree for the RST parsing. However, the nodes of the binary-nuclear relations (e.g., …...

3757