[PDF] Top 20 Quantifying Uncertainties in Natural Language Processing Tasks
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Quantifying Uncertainties in Natural Language Processing Tasks
... With advancement of modern machine learning algorithms and systems, they are applied in various applications that, in some scenarios, impact human wellbeing. Many of such al- gorithms learn black-box mappings between ... See full document
8
Similarity Based Alignment of Monolingual Corpora for Text Simplification Purposes
... annotation tasks, Snow et ...of natural language processing has used crowdsourcing for various tasks within the NLP area, often by the use of Amazon’s Mechanical Turk (Callison-burch et ... See full document
10
Fast and Accurate Decision Trees for Natural Language Processing Tasks
... Additionally, the results reported in section 4.3 are obtained by simply extracting features inside the context-window and not by introducing any predefined feature-sets. This is not the case for the state-of-the art ... See full document
8
Analysis of Statistical Parsing in Natural Language Processing
... Evaluation is important in all NLP tasks. It has always been a problem in disambiguation research, as the only way to judge the performance of a disambiguator is to manually check its output. Manual checking is ... See full document
6
Comparison of Diverse Decoding Methods from Conditional Language Models
... neural language models, which train a neural net to map from one sequence to an- other, have had enormous success in natural lan- guage processing tasks such as machine transla- tion ... See full document
11
MAE and MAI: Lightweight Annotation and Adjudication Tools
... for natural language processing tasks has been steadily increasing over the years: text processing challenges such as those associated with the SemEval workshops (Erk and Strapparava, ... See full document
5
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
... Before closing this brief welcome, we would like to thank the entire organizing committee for their long efforts to create and event that we hope will be memorable for you. Program chairs Greg Kondrak and Taro Watanabe ... See full document
36
Text mining in archaeology: Extracting information from archaeological reports
... the Natural Language Processing (NLP) tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense disambiguation using hand-crafted rules and terminological ... See full document
15
Learning Representations for Weakly Supervised Natural Language Processing Tasks
... prediction tasks using unlabeled data, and find transformations of the input feature space that perform well on these ...for language problems, if we opti- mize word representations on a single task (the ... See full document
36
Some remarks on the Annotation of Quantifying Noun Groups in Treebanks
... raw language data with linguistic infor- mation offers a promising basis for the develop- ment of new, efficient and robust natural language processing ...to natural language ... See full document
10
Clairlib: A Toolkit for Natural Language Processing, Information Retrieval, and Network Analysis
... generic tasks in Natural Language Processing (NLP), Infor- mation Retrieval (IR), and Network Analysis ...address tasks or subtasks in one of these areas as we have just mentioned, ... See full document
6
Investigation of annotator’s behaviour using eye tracking data
... for natural language processing (NLP) ...NLP tasks, in par- ticular semantic and discourse processing that require deeper language understand- ... See full document
9
Evaluation of Machine Learning Methods for Natural Language Processing Tasks
... in language technology. Most natural language processing (NLP) problems can be for- mulated as classification problems (given some object and its context, decide on the class of this ... See full document
6
Evaluating unsupervised learning for natural language processing tasks
... In this position paper, we discussed the issue of eval- uation of unsupervised learning methods for NLP tasks. Using PoS tagging as our case study, we ex- amined recent attempts of evaluating unsupervised ... See full document
8
Proceedings of the IJCNLP 2017, Shared Tasks
... on Natural Language Processing (IJCNLP 2017) took place in Taipei, Taiwan from November 27 to December 1, ...Chinese Language Processing (ACLCLP), and it was hosted by the Asian ... See full document
16
Recurrent Memory Networks for Language Modeling
... many natural lan- guage processing (NLP) ...on language modeling and sentence comple- tion tasks. On language modeling, RMN out- performs Long Short-Term Memory (LSTM) network on three ... See full document
11
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
... Before closing this brief welcome, we would like to thank the entire organizing committee for their long efforts to create and event that we hope will be memorable for you. Program chairs Greg Kondrak and Taro Watanabe ... See full document
32
Robust to Noise Models in Natural Language Processing Tasks
... The rapid growth of the usage of mobile elec- tronic devices has increased the number of user input text issues such as typos. This happens be- cause typing on a small screen and in transport (or while walking) is ... See full document
7
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
... Since natural language data take the form of sequences of words, and are generally ana- lyzed using discrete structures, such as trees (parsed trees) and graphs (relational graphs), discrete ker- nels, such ... See full document
8
Text Mining in Archaeology : Extracting Information from Archaeological Reports
... the Natural Language Processing (NLP) tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word-Sense disambiguation using hand- crafted rules and terminological ... See full document
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