nlp

问题 Recently, have started working on the idea of conversational chatbot and have been thinking of different ways to convert Natural Language query to SQL. These are some of the libraries I have shortlisted to evaluate before writing from scratch. Any other ideas or suggestions? https://github.com/FerreroJeremy/ln2sql https://github.com/dadashkarimi/seq2sql https://github.com/xiaojunxu/SQLNet http://www.ling.helsinki.fi/kit/2009s/clt231/NLTK/book/ch10-AnalyzingTheMeaningOfSentences.html#querying

问题 Recently, have started working on the idea of conversational chatbot and have been thinking of different ways to convert Natural Language query to SQL. These are some of the libraries I have shortlisted to evaluate before writing from scratch. Any other ideas or suggestions? https://github.com/FerreroJeremy/ln2sql https://github.com/dadashkarimi/seq2sql https://github.com/xiaojunxu/SQLNet http://www.ling.helsinki.fi/kit/2009s/clt231/NLTK/book/ch10-AnalyzingTheMeaningOfSentences.html#querying

问题 How can I get different word forms using Python. I want to create a list like the following. Work=['Work','Working','Works'] My code: raw = nltk.clean_html(html) cleaned = re.sub(r'& ?(ld|rd)quo ?[;\]]', '\"', raw) tokens = nltk.wordpunct_tokenize(cleaned) stemmer = PorterStemmer() t = [stemmer.stem(t) if t in Words else t for t in tokens] text = nltk.Text(t) word = words(n) Words = [stemmer.stem(e) for e in word] find = ' '.join(str(e) for e in Words) search_words = set(find.split(' '))

问题 I am naive to StanfordNlpTagger. I have downloaded the JAR files form http://nlp.stanford.edu/software/corenlp.shtml#Download. I have include the four jar files Satnford-postagger.jar Stanford-psotagger-3.3.1.jar Stanford-psotagger-3.3.1.jar-javadoc.jar Stanford-psotagger-3.3.1.jar-src.jar The main problem is that I am not able to "import the edu.stanford.nlp.pipeline.StanfordCoreNLP". Can anyone please suggest me if any more jar files have to included? Thank you. 回答1: That class is in a

问题 I have a model that outputs a Softmax, and I would like to develop a custom loss function. The desired behaviour would be: 1) Softmax to one-hot (normally I do numpy.argmax(softmax_vector) and set that index to 1 in a null vector, but this is not allowed in a loss function). 2) Multiply the resulting one-hot vector by my embedding matrix to get an embedding vector (in my context: the word-vector that is associated to a given word, where words have been tokenized and assigned to indices, or

问题 I have a sentence: firstSentence = "Gnaeus Cornelius Scipio Hispanus expels all Jews from the city of Rome." And I want to find the name of the place ("Rome"). I tried using geography: from geograpy import extraction e = extraction.Extractor(text=firstSentence) e.find_entities() print (e.places()) But I'm receiving error of: raise NotImplementedError("Use label() to access a node label.") NotImplementedError: Use label() to access a node label. I've also tried this: import nltk tagged = nltk

问题 I'm trying to filter my dataset which contains nearly 50K articles. From each article I want to filter out stop words and punctuation. But the process is taking long time. I've already filtered the dataset and it took 6 hours. Now I've got another dataset to filter which contains 300K articles. I'm using python in anaconda environment. PC configuration: 7th Gen. Core i5, 8GB RAM and NVIDIA 940MX GPU. To filter my dataset I've wrote a code which takes each article in dataset, tokenize words

问题 I need to use WSD for my java project..i got to SenseRelate..but its all in Perl..is there any library available for using SenseRelate in Java? 回答1: You may want to try IMS (It Makes Sense), a Java WSD from NUS. Based on their paper, their system was performing well as compared to state-of-the-art systems in different evaluations. 回答2: First a caveat: WSD is a reasonably active area of research, so you probably shouldn't expect an easy answer with guaranteed accuracy. That said, you might

问题 I am trying to integrate openNLP with Solr 6.1.0.I configured the schema and solrconfig files as detailed in the wiki link: https://wiki.apache.org/solr/OpenNLP . changes made in solrconfig.xml file : <lib dir="${solr.install.dir:../../../..}/contrib/analysis-extras/lucene-libs" regex=".*\.jar" /> <lib dir="${solr.install.dir:../../../..}/contrib/analysis-extras/lib" regex="opennlp-.*\.jar" /> changes made in schema file : <fieldType name="text_opennlp_nvf" class="solr.TextField"

问题 So as the title suggests I would like to know if a certain word in a sentence is pointing to 1] A color The grass is green. Hence "green" is color 2] A body part Her hands are soft Hence "hands" is a body part 3] A vehicle I am driving my car on the causeway Hence "car" is a vehicle In similar problems, parsers are one of the possible effective solutions. Stanford parser for example was suggested to a similar question How to find if a word in a sentence is pointing to a city Now the problem