Linguistic Cues

otherentity ID: linguisticcues

Related Papers

Intention-Based Segmentation: Human Reliability and Correlation With Linguistic Cues

Authors: nan

Publication: TIPSTER (1993)

DOI: nan

Certain spans of utterances in a discourse, referred to here as segments, are widely assumedto form coherent units. Further, the segmental structure of discourse has been claimed to constrain and …...

35480

A Text-driven Rule-based System for Emotion Cause Detection

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

Emotion cause detection is a new research area in emotion processing even though most theo- ries of emotion treat recognition of a triggering cause event as an integral part of …...

26384

Emotion Cause Events: Corpus Construction and Analysis

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractEmotion processing has always been a great challenge. Given the fact that an emotion is triggered by cause events and that cause events are an integral part of emotion, this …...

7674

Handling of Missing Values in Lexical Acquisition

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractIn this work we propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. …...

8608

Automatic lexical semantic classification of nouns

Authors: nan

Publication: TIPSTER (2012)

DOI: nan

AbstractThe work we present here addresses cue-based noun classification in English and Spanish. Its main objective is to automatically acquire lexical semantic information by classifying nouns into previously known noun …...

13734

Conversational Markers of Constructive Discussions

Authors: nan

Publication: TIPSTER (2016)

DOI: nan

Group discussions are essential for organiz- ing every aspect of modern life, from faculty meetings to senate debates, from grant review panels to papal conclaves. While costly in terms of …...

23348

Do pretrained transformers infer telicity like humans?

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPretrained transformer-based language models achieve state-of-the-art performance in many NLP tasks, but it is an open question whether the knowledge acquired by the models during pretraining resembles the linguistic knowledge …...

41792