Features

Our goal is to identify the features that pre- dict the occurrence and placement of dis- course cues in tutorial explanations in or- der to aid in the automatic generation …...

The purpose of this paper is to identify effective fac- tors for selecting discourse organization cue phrases in instruction dialogue that signal changes in dis- course structure such as topic …...

The success of supervised learning approaches to word sense disambiguation is largely de- pendent on the features used to represent the context in which an ambiguous word occurs. Previous work …...

We apply a novel variant of Random Forests (Breiman, 2001) to the shallow semantic parsing problem and show extremely promising results. The final system has a semantic role classification accuracy …...

A maximum entropy classifier is used in our semantic role labeling system, which takes syntactic constituents as the labeling units. The maximum entropy classifier is trained to identify and classify …...

In this paper, we describe our systems for the CoNLL-2005 shared task. The aim of the task is semantic role labeling using a machine-learning algorithm. We apply the Support Vector …...

In this paper we propose a machine- learning approach to paragraph boundary identification which utilizes linguistically motivated features. We investigate the re- lation between paragraph boundaries and discourse cues, pronominalization …...

The paper proposes formulating MT evalu- ation as a ranking problem, as is often done in the practice of assessment by human. Un- der the ranking scenario, the study also …...

Question classification plays an important role in question answering. Features are the key to obtain an accurate question classifier. In con- trast to Li and Roth (2002)’s approach which makes …...

This paper introduces an integrative approach to automatic word sense subjectivity annota- tion. We use features that exploit the hier- archical structure and domain information in lexical resources such as …...

We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernel- based machine, e.g. Support …...

Weblogs are a source of human activity know- ledge comprising valuable information such as facts, opinions and personal experiences. In this paper, we propose a method for mining personal experiences …...

The system described in this paper has par- ticipated in the Tempeval 2 competition, specifically in the Task A, which aim is to determine the extent of the time expres- …...

Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate structural dependency be- tween labels. …...

Source language reordering can be seen as the preprocessing task of permuting the or- der of the source words in such a way that the resulting permutation allows as mono- …...

This paper describes our system for SemEval-2010 Task 8 on multi-way clas- sification of semantic relations between nominals. First, the type of semantic re- lation is classified. Then a relation …...

Traditional computational approaches to re- ferring expression generation operate in a de- liberate manner, choosing the attributes to be included on the basis of their ability to dis- tinguish the …...

AbstractA framework is proposed for the detection of reduplication in digital videos of American Sign Language (ASL). In ASL, reduplication is used for a variety of linguistic purposes, including overt …...

AbstractSeveral corpora annotated for coreference have been made available in the past decade. These resources differ with respect to their size and the underlying structure: the number of domains and …...

In pro-drop languages, the detection of explicit subjects, zero subjects and non- referential impersonal constructions is cru- cial for anaphora and co-reference resolu- tion. While the identification of explicit and …...

We investigate the problem of domain adaptation for parallel data in Statistical Machine Translation (SMT). While tech- niques for domain adaptation of monolin- gual data can be borrowed for parallel …...

We present the UKP system which performed best in the Semantic Textual Similarity (STS) task at SemEval-2012 in two out of three met- rics. It uses a simple log-linear regression …...

Previous approaches for automated essay scoring (AES) learn a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm used. In this …...

This paper describes an expression-level senti- ment detection system that participated in the subtask A of SemEval-2013 Task 2: Senti- ment Analysis in Twitter. Our system uses a supervised approach …...

In this paper we present our entry to the WMT’13 shared task: Quality Estima- tion (QE) for machine translation (MT). We participated in the 1.1, 1.2 and 1.3 sub-tasks with …...

Semantic frames are a rich linguistic re- source. There has been much work on semantic frame parsers, but less that applies them to general NLP problems. We address a task …...

In this paper we look at a task in historical linguistics and the study of language de- velopment, namely that of identifying the time when a text was written. The …...

In this paper we present our systems for cal- culating the degree of semantic similarity be- tween two texts that we submitted to the Se- mantic Textual Similarity task at …...

This paper describes the system submit- ted for the Sentiment Analysis in Twitter Task of SEMEVAL 2014 and specifically the Message Polarity Classification sub- task. We used a 2–stage pipeline …...

Microblogging websites (such as Twitter, Facebook) are rich sources of data for opinion mining and sentiment analysis. In this paper, we describe our approaches used for sentiment analysis in twitter …...

The current paper proposes a novel approach to Spanish zero pronoun resolution in the context of Spanish to Korean Machine Translation (MT). Spanish is one of the well-known 'pro-drop' languages …...

We describe the submission of the team of the Sofia University to SemEval-2014 Task 9 on Sentiment Analysis in Twit- ter. We participated in subtask B, where the participating systems …...

Open forum threads exhibit a great variabil- ity in the quality and quantity of the answers they attract, making it difficult to manually moderate and separate relevant from irrelevant content. …...

This paper describes our sentiment analysis systems which have been built for SemEval- 2015 Task 10 Subtask B and E. For sub- task B, a Logistic Regression classifier has been …...

We present a novel framework of system combination for multi-document summarization. For each input set (input), we generate candidate summaries by combining whole sentences from the summaries generated by different …...

The automatic detection of causal relation- ships in text is important for natural lan- guage understanding. This task has proven to be difficult, however, due to the need for world …...

AbstractIn distributional semantics words are represented by aggregated context features. The similarity of words can be computed by comparing their feature vectors. Thus, we can predict whether two words are …...

AbstractThis paper describes our system for humor ranking in tweets within the SemEval 2017 Task 6: #HashtagWars (6A and 6B). For both subtasks, we use an off-the-shelf gradient boosting model …...

AbstractThis article describes our proposed Arabic Sentiment Analysis system named ARB-SEN. This system is designed for the International Workshop on Semantic Evaluation 2018 (SemEval-2018), Task1: Affect in Tweets. ARB-SEN proposes …...

A sampling survey of typology and component ratio analysis in Japanese puns revealed that the type of Japanese pun that had the largest proportion was a pun type with two …...

AbstractPrevious work on the problem of Arabic Dialect Identification typically targeted coarse-grained five dialect classes plus Standard Arabic (6-way classification). This paper presents the first results on a fine-grained dialect …...

AbstractThis paper describes DM-NLP’s system for toponym resolution task at Semeval 2019. Our system was developed for toponym detection, disambiguation and end-to-end resolution which is a pipeline of the former …...

AbstractComplex Word Identification (CWI) is the task of identifying which words or phrases in a sentence are difficult to understand by a target audience. The latest CWI Shared Task released …...

AbstractIn this paper we describe our contribution to the Semeval-2020 Humor Assessment task. We essentially use three different features that are passed into a ridge regression to determine a funniness …...