| tech,4-2-H01-1058,bq | . We find that simple <term> interpolation | methods | </term> , like <term> log-linear and linear | #1049 We find that simple interpolation methods, like log-linear and linear interpolation, improve the performance but fall short of the performance of an oracle. |
| tech,6-2-P01-1004,bq | segment order-sensitive string comparison | methods | </term> , and run each over both <term> character | #1500 We take a selection of both bag-of-words and segment order-sensitive string comparison methods, and run each over both character- and word-segmented data, in combination with a range of local segment contiguity models (in the form of N-grams). |
| tech,7-4-P01-1004,bq | <term> configuration </term> , <term> bag-of-words | methods | </term> are shown to be equivalent to <term> | #1567 Further,in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster. |
| tech,15-4-P01-1004,bq | equivalent to <term> segment order-sensitive | methods | </term> in terms of <term> retrieval accuracy | #1576 Further,in their optimum configuration, bag-of-words methods are shown to be equivalent to segment order-sensitive methods in terms of retrieval accuracy, but much faster. |
| current systems use manual or semi-automatic | methods | to collect <term> paraphrases </term> . We | #1772 While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. | |
| tech,5-1-N03-1004,bq | Motivated by the success of <term> ensemble | methods | </term> in <term> machine learning </term> and | #2312 Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multi-strategy and multi-source approach to question answering which is based on combining the results from different answering agents searching for answers in multiple corpora. |
| tech,8-3-N03-1026,bq | the use of standard <term> parser evaluation | methods | </term> for automatically evaluating the <term> | #2848 Furthermore, we propose the use of standard parser evaluation methods for automatically evaluating the summarization quality of sentence condensation systems. |
| other,17-4-P03-1005,bq | kernel functions </term> and <term> baseline | methods | </term> . Previous research has demonstrated | #3882 The results of the experiments demonstrate that the HDAG Kernel is superior to other kernel functions and baseline methods. |
| </term> and <term> nearest neighbour </term> | methods | . In contrast to previous work , we particularly | #3923 We describe a new approach which involves clustering subcategorization frame (SCF) distributions using the Information Bottleneck and nearest neighbourmethods. | |
| dialogue corpora </term> . Unlike conventional | methods | that use <term> hand-crafted rules </term> | #4236 Unlike conventional methods that use hand-crafted rules, the proposed method enables easy design of the discourse understanding process. | |
| tech,11-2-C04-1080,bq | comprehensive comparison of <term> unsupervised | methods | for part-of-speech tagging </term> , noting | #5538 Along the way, we present the first comprehensive comparison of unsupervised methods for part-of-speech tagging, noting that published results to date have not been comparable across corpora or lexicons. |
| process </term> . We evaluate the proposed | methods | through several <term> transliteration/back | #5806 We evaluate the proposed methods through several transliteration/back transliteration experiments for English/Chinese and English/Japanese language pairs. | |
| tech,20-2-H05-1012,bq | mixture of <term> supervised and unsupervised | methods | </term> yields superior <term> performance </term> | #7289 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. |
| tech,4-3-H05-1117,bq | 's response . The lack of automatic <term> | methods | </term> for <term> scoring system output </term> | #7574 The lack of automaticmethods for scoring system output is an impediment to progress in the field, which we address with this work. |
| measure(ment),8-2-I05-5003,bq | of applying standard <term> MT evaluation | methods | ( BLEU , NIST , WER and PER ) </term> to | #8347 This paper investigates the utility of applying standard MT evaluation methods (BLEU, NIST, WER and PER) to building classifiers to predict semantic equivalence and entailment. |
| tech,21-11-J05-1003,bq | efficiency — to work on <term> feature selection | methods | </term> within <term> log-linear ( maximum-entropy | #8928 We argue that the method is an appealing alternative—in terms of both simplicity and efficiency—to work on feature selection methods within log-linear (maximum-entropy) models. |
| tech,3-5-P05-1074,bq | our <term> paraphrase extractio and ranking | methods | </term> using a set of <term> manual word alignments | #9758 We evaluate our paraphrase extractio and ranking methods using a set of manual word alignments, and contrast the quality with paraphrases extracted from automatic alignments. |
| tech,0-1-P06-1013,bq | Methods course </term> . <term> Combination | methods | </term> are an effective way of improving | #10969 Combination methods are an effective way of improving system performance. |
| tech,1-4-P06-1013,bq | WSD systems </term> . Our <term> combination | methods | </term> rely on <term> predominant senses </term> | #11011 Our combination methods rely on predominant senses which are derived automatically from raw text. |
| tech,15-3-P06-2012,bq | </term> outperforms the other <term> clustering | methods | </term> . This paper proposes a novel method | #11390 Experiment results on ACE corpora show that this spectral clustering based approach outperforms the other clustering methods. |
