Decision Tree

The relative size and location of prosodic phrase boundaries provides an important cue for resolving syntactic ambiguity. In previous work, we have introduced an analysis/synthesis formalism for scoring parses in …...

This paper describes an experimental compari- son of seven different learning algorithms on the problem of learning to disambiguate the meaning of a word from context. The algorithms tested include …...

This paper describes RoboTag, an ad- vanced prototype for a machine learning- based multilingual information extraction system. First, we describe a general client/server architecture used in learning from observation. Then …...

In leading morpho-phonological theories and state-of-the-art text-to-speech systems it is assumed that word pronunciation cannot be learned or performed without in-between anal- yses at several abstraction levels (e.g., mor- phological, …...

For languages whose character set is very large and whose orthography does not require spac- ing between words, such as Japanese, tokenizing and part-of-speech tagging are often the diffi- cult …...

This l)al)er describes novel and practical .lal)anesc parsers that uses decision trees, l"irst, we COl> struct a single, decision tree to estimate modifica-- lion probabilities; how one phrase tends t.o …...

This paper discusses a decision-tree approach to the problem of assigning probabilities to words following a given text. In contrast with previ- ous decision-tree language model attempts, an algorithm for …...

This paper presents a decision-tree approach to the problems of part-of- speech disambiguation and unknown word guessing as they appear in Modem Greek, a highly inflectional language. The learning procedure …...

Language models for speech recognition con- centrate solely on recognizing the words that were spoken. In this paper, we advocate re- defining the speech recognition problem so that its goal …...

Transformation-based learning has been success- fully employed to solve many natural language processing problems. It has many positive fea- tures, but one drawback is that it does not provide estimates …...

The bigram language models are popular, in much language processing applications, in both Indo-European and Asian languages. However, when the language model for Chinese is applied in a novel domain, …...

Named entity (NE) recognition is a task in which proper nouns and nu- merical information in a document are detected and classified into categories such as person, organization, location, and …...

Using finite-state automata for the text analysis component in a text-to-speech system is problem- atic in several respects: the rewrite rules from which the automata are compiled are difficult to …...

In this paper, we evaluate a vari- ety of knowledge sources and super- vised learning algorithms for word sense disambiguation on SENSEVAL-2 and SENSEVAL-1 data. Our knowledge sources include the …...

We report on experiments in reference res- olution using a decision tree approach. We started with a standard feature set used in previous work, which led to moderate re- sults. …...

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 …...

In this paper we address the issue of au- tomatically assigning information status to discourse entities. Using an annotated cor- pus of conversational English and exploit- ing morpho-syntactic and lexical …...

This paper compares a deep and a shallow processing approach to the problem of clas- sifying a sentence as grammatically well- formed or ill-formed. The deep processing approach uses the …...

Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The fresh- ness of documents ranked for such queries is generally of critical …...

In this paper, we present an unsupervised framework that bootstraps a complete corefer- ence resolution (CoRe) system from word as- sociations mined from a large unlabeled cor- pus. We show …...

AbstractIn this paper, we analyze the causes of task completion errors in spoken dialog systems, using a decision tree with N-gram features of the dialog to detect task-incomplete dialogs. The …...

This paper describes a coreference resolution system for CONLL 2012 shared task developed by HLT_HITSZ group, which incorporates rule-based and statistic-based techniques. The system performs coreference resolution through the mention …...

A method is presented to assist users with no background in linguistics in adding the unknown words in a text to monolingual dictionaries such as those used in rule- based …...

Sentiment Analysis of tweets is a complex task, because these short messages employ unconventional language to increase the ex- pressiveness. This task becomes even more difficult when people use figurative …...

This paper describes aggregated learning models for Complex Word Identification (CWI) task in SemEval 2016. The work focused on selecting the features that de- termine complexity of words and used …...

We present two systems created for SemEval- 2016s Task 11: Complex Word Identification. Our two systems, a regression tree and de- cision tree, were trained with a word’s uni- gram …...

AbstractMetonymy is a figure of speech in which one item’s name represents another item that usually has a close relation with the first one. Metonymic expressions need to be correctly …...

AbstractExtracting the information from text when an event happened is challenging. Documents do not only report on current events, but also on past events as well as on future events. …...

In this paper, we conducted an aspect-based sentiment analysis using Google Maps user reviews of Indonesia’s tourism destinations which are Borobudur and Prambanan Temple. The aspects we used are Attractions, …...

AbstractInscribing persuasion techniques in memes is the most impactful way to influence peoples’ mindsets. People are more inclined to memes as they are more stimulating and convincing and hence memes …...

AbstractThis paper describes the submission of the team Amrita_CEN to the shared task on iSarcasm Eval: Intended Sarcasm Detection in English and Arabic at SemEval 2022. We employed machine learning …...

AbstractGRhOOT, the German RhetOrical OnTology, is a domain ontology of 110 rhetorical figures in the German language. The overall goal of building an ontology of rhetorical figures in German is …...

In recent years, reviews of various products by purchasers have been posted on websites. By browsing these reviews, company representa- tives intend to collect and analyze opinions from the users' …...

AbstractThe rapid growth of online communication using social media platforms has led to an increase in the presence of hate speech, especially in terms of sexist language online. The proliferation …...