Evaluation Results

We discuss an automatic method for the construction of hypertext links within and between newspaper articles. The method comprises three steps: determining the lexical chains in a text, building links …...

In this paper, a hybrid disambiguation method for the prepositional phrase (PP) attachment and interpretation problem is presented. 1 The data needed, semantic PP interpretation rules and an annotated corpus, …...

In this paper we describe the structure, organisa- tion and results of the SENSEVAL exercise for Span- ish. We present several design decisions we taked for the exercise, we describe …...

AbstractThis paper presents an overview of the broad-coverage, application-independent natural language generation component of the NLP system being developed at Microsoft Research. It demonstrates how this component functions within a …...

This paper describes an approach to Machine Translation that places linguistic information at its foundation. The difficulty of translation from English to Japanese is illustrated with data that shows the …...

Logic Forms, particular powerful logic representations presented in Moldovan and Rus (2001), are simple yet highly ef- fective. In this paper, the structure of Logic Forms and their generation from …...

This paper presents a statistical model that in- terprets the evaluation of ranking methods as a random experiment. This model predicts the variability of evaluation results, so that appro- priate …...

We use SVM classifiers to predict the next action of a deterministic parser that builds labeled projective dependency graphs in an incremental fashion. Non-projective dependencies are captured indirectly by projectivizing …...

This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Lan- guage Learning (CALL) application. We describe a computer game we have devel- …...

Topic segmentation and identification are of- ten tackled as separate problems whereas they are both part of topic analysis. In this article, we study how topic identification can help to …...

AbstractIn this paper, we give a description of the machine translation system developed at DCU that was used for our second participation in the evaluation campaign of the International Workshop …...

Textual entailment recognition plays a fundamental role in tasks that require in- depth natural language understanding. In order to use entailment recognition tech- nologies for real-world applications, a large-scale entailment …...

AbstractThis paper describes the Spanish Resource Grammar, an open-source multi-purpose broad-coverage precise grammar for Spanish. The grammar is implemented on the Linguistic Knowledge Builder (LKB) system, it is grounded in …...

The Workshop on Statistical Machine Translation (WMT) has become one of ACL’s flagship workshops, held annually since 2006. In addition to soliciting pa- pers from the research community, WMT also …...

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 …...

Previous incremental parsers have used monotonic state transitions. However, transitions can be made to revise previous decisions quite naturally, based on further information. We show that a simple adjustment to …...

We are presenting work on recognising acro- nyms of the form Long-Form (Short-Form) such as “International Monetary Fund (IMF)” in millions of news articles in twenty-two lan- guages, as part …...

AbstractIn this paper, we describe and evaluate an unsupervised method for acquiring pairs of lexical entries belonging to the same morphological family, i.e., derivationally related words, starting from a purely …...

We present a pairwise learning-to-rank approach to machine translation evalua- tion that learns to differentiate better from worse translations in the context of a given reference. We integrate several layers …...

AbstractIn this paper we describe our effort to create a dataset for the evaluation of cross-language textual similarity detection. We present preexisting corpora and their limits and we explain the …...

AbstractAs data-driven approaches started to make their way into the Natural Language Generation (NLG) domain, the need for automation of corpus building and extension became apparent. Corpus creation and extension …...

AbstractWe introduce a dialogue task between a virtual patient and a doctor where the dialogue system, playing the patient part in a simulated consultation, must reconcile a specialized level, to …...

AbstractThe paper describes a system for end-user development using natural language. Our approach uses a ranking model to identify the actions to be executed followed by reference and parameter matching …...

Automatic translation of documents is an important task in many domains, in- cluding the biological and clinical do- mains. The second edition of the Biomed- ical Translation task in the …...

AbstractThis paper describes the Duluth UROP systems that participated in SemEval–2018 Task 2, Multilingual Emoji Prediction. We relied on a variety of ensembles made up of classifiers using Naive Bayes, …...

AbstractWe propose a morphologically informed model for named entity recognition, which is based on LSTM-CRF architecture and combines word embeddings, Bi-LSTM character embeddings, part-of-speech (POS) tags, and morphological information. While …...

AbstractMulti-document summarization (MDS) aims at producing a good-quality summary for several related documents. In this paper, we propose a spectral-based hypothesis, which states that the goodness of summary candidate is …...

Among the various modes of communication in social media, the use of Internet memes has emerged as a powerful means to convey politi- cal, psychological, and socio-cultural opinions. Although memes …...

AbstractWe have constructed the Corpus of Everyday Japanese Conversation (CEJC) and published it in March 2022. The CEJC is designed to contain various kinds of everyday conversations in a balanced …...

In this paper, we focus on the task of machine reading at scale within how-to tip machine reading comprehension (MRC). We propose a method for developing a context dataset using …...

AbstractGrounding dialogue generation by extra knowledge has shown great potentials towards building a system capable of replying with knowledgeable and engaging responses. Existing studies focus on how to synthesize a …...

AbstractThis paper describes the ROCLING-2022 shared task for Chinese healthcare named entity recognition, including task description, data preparation, performance metrics, and evaluation results. Among ten registered teams, seven participating teams …...

AbstractWe present a new multilingual multifacet dataset of news articles, each annotated for genre (objective news reporting vs. opinion vs. satire), framing (what key aspects are highlighted), and persuasion techniques …...

AbstractSocratic questioning is a form of reflective inquiry often employed in education to encourage critical thinking in students, and to elicit awareness of beliefs and perspectives in a subject during …...