Articles

As it serves as a basis for POS tagging, cat- egory induction, and human category ac- quisition, we investigate the information needed to disambiguate a word in a lo- cal context, when using corpus categories. Specifically, we increase the recall of an error detection method by abstracting the word to …...

We present procedures which pool lexical information estimated from unlabeled data via the Inside-Outside algorithm, with lex- ical information from a treebank PCFG. The procedures produce substantial im- provements (up to 31.6% error reduction) on the task of determining subcategoriza- tion frames of novel verbs, relative to a smoothed Penn …...

This paper presents a method for mining potential troubles or obstacles related to the use of a given object. Some exam- ple instances of this relation are ⟨medicine, side effect⟩ and ⟨amusement park, height restriction⟩. Our acquisition method con- sists of three steps. First, we use an un- supervised method …...

One style of Multi-Engine Machine Translation architecture involves choos- ing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary set, even in the presence of human references, is a difficult problem; it may prove better to look at mechanisms for making such …...

Probabilistic synchronous context-free grammar (PSCFG) translation models define weighted transduction rules that represent translation and reordering oper- ations via nonterminal symbols. In this work, we investigate the source of the im- provements in translation quality reported when using two PSCFG translation mod- els (hierarchical and syntax-augmented), when extending a state-of-the-art …...

This paper addresses two issues of active learning. Firstly, to solve a problem of uncertainty sampling that it often fails by selecting outliers, this paper presents a new selective sampling technique, sam- pling by uncertainty and density (SUD), in which a k-Nearest-Neighbor-based density measure is adopted to determine whether an …...

In this paper, we address the issue of de- ciding when to stop active learning for building a labeled training corpus. Firstly, this paper presents a new stopping crite- rion, classification-change, which con- siders the potential ability of each unla- beled example on changing decision boundaries. Secondly, a multi-criteria- based …...

We present a diagnostic evaluation plat- form which provides multi-factored eval- uation based on automatically con- structed check-points. A check-point is a linguistically motivated unit (e.g. an am- biguous word, a noun phrase, a verb~obj collocation, a prepositional phrase etc.), which are pre-defined in a linguistic tax- onomy. We present …...

The need for syntactically annotated data for use in natural language processing has increased dramatically in recent years. This is true especially for parallel treebanks, of which very few exist. The ones that exist are mainly hand-crafted and too small for reliable use in data-oriented applications. In this paper we …...

We propose a hybrid genera- tive/discriminative framework for se- mantic parsing which combines the hidden vector state (HVS) model and the hidden Markov support vector machines (HM- SVMs). The HVS model is an extension of the basic discrete Markov model in which context is encoded as a stack-oriented state vector. …...

This paper presents a general platform, namely synchronous tree sequence sub- stitution grammar (STSSG), for the grammar comparison study in Transla- tional Equivalence Modeling (TEM) and Statistical Machine Translation (SMT). Under the STSSG platform, we compare the expressive abilities of various gram- mars through synchronous parsing and a real translation …...

Many reordering approaches have been proposed for the statistical machine translation (SMT) system. However, the information about the type of source sentence is ignored in the previous works. In this paper, we propose a group of novel reordering models based on the source sentence type for Chinese-to- English translation. In …...

We describe and evaluate a new method of automatic seed word selection for un- supervised sentiment classification of product reviews in Chinese. The whole method is unsupervised and does not re- quire any annotated training data; it only requires information about commonly oc- curring negations and adverbials. Unsu- pervised techniques …...

We propose a new integrated approach based on Markov logic networks (MLNs), an effective com- bination of probabilistic graphical models and first- order logic for statistical relational learning, to ex- tracting relations between entities in encyclopedic articles from Wikipedia. The MLNs model en- tity relations in a unified undirected graph …...

AbstractThis paper presents a method for compiling a large-scale bilingual corpus from a database of movie subtitles. To create the corpus, we propose an algorithm based on Gale and Church’s sentence alignment algorithm(1993). However, our algorithm not only relies on character length information, but also uses subtitle-timing information, which is …...

AbstractSome time in the future, some spelling error correction system will correct all the errors, and only the errors. We need evaluation metrics that will tell us when this has been achieved and that can help guide us there. We survey the current practice in the form of the evaluation …...

AbstractThis paper describes an ongoing project in which we are collecting a learner corpus of Arabic, developing a tagset for error annotation and performing Computer-aided Error Analysis (CEA) on the data. We adapted the French Interlanguage Database FRIDA tagset (Granger, 2003a) to the data. We chose FRIDA in order to …...

AbstractThis paper describes an ongoing project “Japanese FrameNet (JFN)”, a corpus-based lexicon of Japanese in the FrameNet style. This paper focuses on the set of software tools tailored for the JFN annotation process. As the first step in the annotation, annotators select target sentences from the JFN corpus using the …...

AbstractThe goal of this paper is to describe how adjectives are encoded in Cornetto, a semantic lexical database for Dutch. Cornetto combines two existing lexical resources with different semantic organisation, i.e. Dutch Wordnet (DWN) with a synset organisation and Referentie Bestand Nederlands (RBN) with an organisation in Lexical Units. Both …...

AbstractIn many applications of natural language processing (NLP) grammatically tagged corpora are needed. Thus Part of Speech (POS) Tagging is of high importance in the domain of NLP. Many taggers are designed with different approaches to reach high performance and accuracy. These taggers usually deal with inter-word relations and they …...