Questions tagged [natural-language-processing]

Natural language processing (NLP)

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0answers
52 views

Two classes of documents. Find weighted relations between them

I have an NLP problem and a potential solution, but I’m a bit green here, so I’m looking for some validation or alternative suggestions. Background I have two types of documents: one is a set of ...
3
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2answers
73 views

How do learn the most important nodes in a tree?

I have a list of 20000 words and how often they appeared in a set of 500 newspaper articles. I am trying to build a stemmer which chops off suffuxes from each words, so ...
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0answers
130 views

Translation of natural language to logic [closed]

Given a statement in natural language, what can be said about how many possible translations there are in first-order-logic? What happen if we take a more complex logic like second-order logic and ...
3
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0answers
77 views

What are some of the methods that NLP practitioners use to automatically learn linguistic features from text? [closed]

I am learning about NLP, with an eye to starting some practical NLP projects. I see that many of the algorithms for relation extraction and named entity recognition require you to identify linguistic ...
2
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0answers
21 views

What are ways that you might analyze relations extracted from text [closed]

In the coursera NLP course, Dan Jurofsky says you might want to extract relations from text to serve as input to other algorithms. What are examples of ways that researchers have used or might use ...
3
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0answers
80 views

Document clustering for summarization

I am curious as to what steps one would reasonably need to take to perform an extraction-based text summarizer. I've taken a look at some papers I've found on Google such as this one, which explains ...
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0answers
31 views

Is there a paper/implementation/tool on automatically finding/suggesting similar questions for a given question?

I would like to know whether there is a method to find similar questions for a given question, just like this stackexchange.com does. Is there any paper or tools? I tried keywords such as "...
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0answers
558 views

NLP: in practice, what should I choose as Start and End symbol?

I'm writing a small program that implements a trigram HMM model and apply it by using Viterbi Algorithm. It's very standardized. However, I have never written anything like this before, and I get ...
2
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4answers
1k views

What aspects of linguistics are necessary or good for natural language processing? [closed]

What aspects of linguistics are necessary or good to know for natural language processing? What references do you recommend for studying those aspects? Thanks!
2
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1answer
115 views

Solving the part-of-speech tagging problem with HMM

There is a famous part-of-speech tagging problem in Natural Language Processing. The popular solution is to use Hidden Markov Models. So that, given the sentence $x_1 \dots x_n$ we want to find the ...
2
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1answer
37 views

Trying to tag parts of a word and keep track of any changes that happen to those parts

I'm a researcher working with a language that has gone through phonological changes through time. I would like to tag parts of a word (i.e. prefix, stem, suffix) and then apply those phonological ...
2
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1answer
80 views

Using interval graphs to find authorship disputes

The first chapter of the book "Graphs and their uses" by Oystein Ore says that interval graphs can be used to resolve authorship disputes, but I couldn't find any details. How does this work? What ...
5
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1answer
545 views

Determining interests from Twitter text using Latent Dirichlet Allocation

I would like to determine interests or hobbies that people have given their Twitter timeline data. Their timeline is their historical collection of tweets. The result I am trying to achieve is to ...
4
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0answers
2k views

Next-Word Prediction, Language Models, N-grams

I was looking into how a next-word prediction engine like swift key or XT9 can be implemented. Here's what I did. I read about n-grams here - en.wikipedia.org/wiki/N-gram and aicat.inf.ed.ac.uk/...
1
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0answers
2k views

Next Word Prediction using n-gram & Tries

I am studying the following paper for understanding next-word prediction using n-gram & trie: - http://nlp.cs.berkeley.edu/pubs/Pauls-Klein_2011_LM_paper.pdf Before this, I did some brief study on ...
2
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2answers
145 views

Hidden Markov Model in Tagging Problem

I try to understand the details regarding using Hidden Markov Model in Tagging Problem. The best concise description that I found is the Course notes by Michal Collins. The goal is to find a ...
0
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1answer
403 views

short text categorization with spelling correction

I am building a classifier for short texts in a chat system. My features are words and pairs of words. Naturally, the sentences contain spelling mistakes. If a particular wrong spelling of a certain ...
0
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0answers
199 views

Advantages of knowing foreign languages for natural language processing

I wonder about cases in which knowing several languages can lead a researcher to interesting results in natural language processing. For example, knowledge of foreign languages can without doubt ...
2
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1answer
122 views

Analyzing rules of articles in languages

I'm interested in finding a solution for the following problem: problem space: any language that has more than 1 article let's take German language as example. So the articles in German are "der", "...
2
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0answers
188 views

The grammar of the GeoQuery language

GeoQuery is a dataset used for benchmarking semantic parsers. It contains 880 queries about USA geography. The queries are in Prolog format, for example: answer(A,longest(A,(river(A),traverse(A,B),...
3
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1answer
78 views

Evaluation metric for an ordering algorithm

There is a sentence with N words. The words are randomly shuffled. I have a heuristic algorithm that tries to restore the original order. I want to evaluate my algorithm on a dataset of several ...
5
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2answers
544 views

Algorithm to find the probability of a given text to be about a large topic

I want the conditional probability for each topic (being the word that we give as input). For example, the text being have seen and reviewed your requirements you posted here. If you can give me ...
1
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0answers
109 views

Help understanding an audio processing algorithm

I'm reading “Speech segmentation without speech recognition” by Dong Wang, Lie Lu and Hong-Jiang Zhang. The algorithm I'm looking at is a V/C/P (Vowel/Consonant/Pause) classification algorithm on a ...
2
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4answers
3k views

Optimal algorithm for finding all ngrams from a pre-defined set in a text

I'm thinking about the optimal algorithm for the following problem: Input data: a text, say it's an article about 5-50 pages. a set of ngrams (ngram strings, n>2), of arbitrary length, could be more ...
3
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0answers
270 views

Has someone seen this structure before?

I am working 1 with a certain structure, and I wonder if someone has seen it before. I am no mathematician, so all I can say is that I will do my best to describe this structure. It is actually very ...
4
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1answer
205 views

Semantic similarity in text

Is there a relatively simple way of telling if two pieces of text are semantically similar? Some assumptions that are valid: It is all english I have a list of all the important nouns Are there any ...
5
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2answers
157 views

When did commercial Speech Recognition first begin using grammar (sentence structure) for prediction?

It seems as though modern speech recognition (e.g., through Android, iOS phones) make use of grammar or sentence structure. (e.g., it might have a tough time distinguishing between "grammar" and "...
13
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2answers
790 views

Identifying events related to dates in a paragraph

Is there an algorithmic approach to identify that dates given in a paragraph correlate to particular events (phrases) in the paragraph? Example, consider the following paragraph: In June 1970, the ...

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