SupervisedMethod
Related Papers
Part-of-Speech Tagging in Context
We present a new HMM tagger that exploits context on both sides of a word to be tagged, and evaluate it in both the unsupervised and supervised case. Along the …...
HIT-IR-WSD: A WSD System for English Lexical Sample Task
HIT-IR-WSD is a word sense disambigua- tion (WSD) system developed for English lexical sample task (Task 11) of Semeval 2007 by Information Retrieval Lab, Harbin Institute of Technology. The system …...
Combining Collocations, Lexical and Encyclopedic Knowledge for Metonymy Resolution
This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with fea- tures extracted based on collocation in- formation from corpora, generalized us- ing …...
Extracting Product Features and Sentiments from Chinese Customer Reviews
AbstractWith the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, this …...
Extending the EmotiNet Knowledge Base to Improve the Automatic Detection of Implicitly Expressed Emotions from Text
AbstractSentiment analysis is one of the recent, highly dynamic fields in Natural Language Processing. Although much research has been performed in this area, most existing approaches are based on word-level …...
Single Classifier Approach for Verb Sense Disambiguation based on Generalized Features
AbstractWe present a supervised method for verb sense disambiguation based on VerbNet. Most previous supervised approaches to verb sense disambiguation create a classifier for each verb that reaches a frequency …...
Supervised Within-Document Event Coreference using Information Propagation
AbstractEvent coreference is an important task for full text analysis. However, previous work uses a variety of approaches, sources and evaluation, making the literature confusing and the results incommensurate. We …...
Unsupervised Compound Splitting With Distributional Semantics Rivals Supervised Methods
In this paper we present a word decom- pounding method that is based on distribu- tional semantics. Our method does not re- quire any linguistic knowledge and is initial- ized …...
Guilt by Association: Emotion Intensities in Lexical Representations
AbstractWhat do linguistic models reveal about the emotions associated with words? In this study, we consider the task of estimating word-level emotion intensity scores for specific emotions, exploring unsupervised, supervised, …...
Controllable Natural Language Generation with Contrastive Prefixes
AbstractTo guide the generation of large pretrained language models (LM), previous work has focused on directly fine-tuning the language model or utilizing an attribute discriminator. In this work, we propose …...
OpenStance: Real-world Zero-shot Stance Detection
AbstractPrior studies of zero-shot stance detection identify the attitude of texts towards unseen topics occurring in the same document corpus. Such task formulation has three limitations: (i) Single domain/dataset. A …...