{var%20f='http://v.t.sina.com.cn/share/share.php?appkey=1515056452',u=z||d.location,p=['&url=',e(u),'&title=',e(t||d.title),'&source=',e(r),'&sourceUrl=',e(l),'&content=',c||'gb2312','&pic=',e(p||'')].join('');function%20a(){if(!window.open([f,p].join(''),'mb',['toolbar=0,status=0,resizable=1,width=440,height=430,left=',(s.width-440)/2,',top=',(s.height-430)/2].join('')))u.href=[f,p].join('');};if(/Firefox/.test(navigator.userAgent))setTimeout(a,0);else%20a();})(screen,document,encodeURIComponent,'','','https://www.manongdao.com/data/attach/logo/logo.png', '推荐 等我变得足够好 的问题《Analysing meaning of sentences》','https://www.manongdao.com/q-1242911.html','页面编码gb2312|utf-8默认gb2312'));){kind=link}
Are there any tools that analyze the meaning of given sentences? Recommendations are greatly appreciated.
Thanks in advance!
相关问题
- How to get a list of antonyms lemmas using Python,
- How to match dependency patterns with spaCy?
- LUIS - Can we use phrases list for new values in t
- How to initialize a `Doc` in textacy 0.6.2?
- How to initialize second glove model with solution
相关文章
- What's the difference between WordNet 3.1 and
- How should I vectorize the following list of lists
- What created `maxent_treebank_pos_tagger/english.p
- How to determine if a sentence is talking about a
- Triple extraction from a sentance
- How to use Mallet for NER [closed]
- How to translate words in NTLK swadesh corpus rega
- In Keras elmo embedding layer has 0 parameters? is
Some natural language understanding tools can analyze the meaning of sentences, including NLTK and Attempto Controlled English. There are several implementations of discourse representation structures and semantic parsers with a similar purpose.
There are also several parsers that can be used to generate a meaning representation from the text that is being parsed.
I am also looking for similar tools. One thing I found recently was this
sentiment analysistool built by researchers at Stanford.It provides a model of analyzing the sentiment of a given sentence. It's interesting and even this seemingly simple idea is quite involved to model in an accurate way. It utilizes machine learning to develop higher accuracy as well. There is a live demo where you can input sentences to analyze.
http://nlp.stanford.edu/sentiment/
I also saw this
RelExsemantic dependency relationship extractor.http://wiki.opencog.org/w/Sentence_algorithms