| story-telling , etc . This paper addresses the | problem | of the automatic detection of those activities | #111 This paper addresses the problem of the automatic detection of those activities in meeting situation and everyday rejoinders. | ||
| recognition </term> has brought to light a new | problem | : as <term> dialog systems </term> understand | #942 However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user. | ||
| techniques </term> . In this paper , we address the | problem | of combining several <term> language models | #1034 In this paper, we address the problem of combining several language models (LMs). | ||
| <term> language </term> of interest . A central | problem | of <term> word sense disambiguation ( WSD | #4803 A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. | ||
| project stage . On this basis , we discuss the | problems | of <term> vagueness </term> and <term> ambiguity | #5000 On this basis, we discuss the problems of vagueness and ambiguity in semantic annotation. | ||
| create <term> training material </term> for | problems | in <term> machine translation </term> and that | #5303 We demonstrate that it is feasible to create training material for problems in machine translation and that a mixture of supervised and unsupervised methods yields superior performance. | ||
| other,4-1-H05-1101,ak | paper investigates some <term> computational | problems | </term> associated with <term> probabilistic | #5683 This paper investigates some computational problems associated with probabilistic translation models that have recently been adopted in the literature on machine translation. | |
| used in the literature . We consider the | problem | of <term> question-focused sentence retrieval | #5752 We consider the problem of question-focused sentence retrieval from complex news articles describing multi-event stories published over time. | ||
| other,3-5-H05-1115,ak | . To address the <term> sentence retrieval | problem | </term> , we apply a <term> stochastic , graph-based | #5822 To address the sentence retrieval problem, we apply a stochastic, graph-based method for comparing the relative importance of the textual units, which was previously used successfully for generic summarization. | |
| other,20-2-I05-2014,ak | , because of the <term> word segmentation | problem | </term> . This study establishes the equivalence | #6265 Yet, they are scarcely used for the assessment of language pairs like English-Chinese or English-Japanese, because of the word segmentation problem. | |
| other,10-4-I05-2014,ak | </term> eliminates the <term> word segmentation | problem | </term> : it makes it possible to directly | #6301 The use of BLEU at the character level eliminates the word segmentation problem: it makes it possible to directly compare commercial systems outputting unsegmented texts with, for instance, statistical MT systems which usually segment their outputs. | |
| information </term> . This article is devoted to the | problem | of <term> quantifying noun groups </term> in | #7801 This article is devoted to the problem of quantifying noun groups in German. | ||
| tech,13-5-J05-1003,ak | on the <term> boosting approach to ranking | problems | </term> described in Freund et al. ( 1998 | #8141 We introduce a new method for the reranking task, based on the boosting approach to ranking problems described in Freund et al. (1998). | |
| tech,23-12-J05-1003,ak | should be applicable to many other <term> NLP | problems | </term> which are naturally framed as <term> | #8325 Although the experiments in this article are on natural language parsing (NLP), the approach should be applicable to many other NLP problems which are naturally framed as ranking tasks, for example, speech recognition, machine translation, or natural language generation. | |
| selection </term> . This paper considers the | problem | of automatic assessment of <term> local coherence | #8596 This paper considers the problem of automatic assessment of local coherence. | ||
| tech,6-3-P05-1018,ak | assessment </term> as a <term> ranking learning | problem | </term> and show that the proposed <term> discourse | #8635 We view coherence assessment as a ranking learning problem and show that the proposed discourse representation supports the effective learning of a ranking function. | |
| techniques </term> have been applied to this | problem | with reasonable success , but they have | #10427 Traditional machine learning techniques have been applied to this problem with reasonable success, but they have been shown to work well only when there is a good match between the training and test data with respect to topic. | ||
| tech,28-2-P05-3001,ak | <term> semantics </term> and <term> collaborative | problem | solving </term> . This paper describes a <term> | #10662 Our contributions include a concise, modular architecture with reversible processes of understanding and generation, an information-state model of reference, and flexible links between semantics and collaborative problem solving. | |
| find and address conceptual and practical | problems | in an <term> MT system </term> . In our demonstration | #10731 Using this visualization method, we can find and address conceptual and practical problems in an MT system. | ||
| web site . In this paper we study a set of | problems | that are of considerable importance to <term> | #10867 In this paper we study a set of problems that are of considerable importance to Statistical Machine Translation (SMT) but which have not been addressed satisfactorily by the SMT research community. |
